Abdelhamed A, Lin S and Brown M S. 2018. A high-quality denoising dataset for smartphone cameras//Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, USA: IEEE: 1692-1700[DOI: 10.1109/CVPR.2018.00182http://dx.doi.org/10.1109/CVPR.2018.00182]

Achar S, Bartels J R, Whittaker W L R, Kutulakos K N and Narasimhan S G. 2017. Epipolar time-of-flight imaging. ACM Transactions on Graphics, 36(4): #37[DOI: 10.1145/3072959.3073686]

Adelson E H and Wang J Y A. 1992. Single lens stereo with a plenoptic camera. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14(2): 99-106[DOI: 10.1109/34.121783]

Aggarwal M and Ahuja N. 2001. Split aperture imaging for high dynamic range//Proceedings of 2001 IEEE International Conference on Computer Vision. Vancouver, Canada: IEEE: #10[DOI: 10.1109/ICCV.2001.937583http://dx.doi.org/10.1109/ICCV.2001.937583]

Aggarwal M and Ahuja N. 2004. Split aperture imaging for high dynamic range. International Journal of Computer Vision, 58(1): 7-17[DOI: 10.1023/B:VISI.0000016144.56397.1a]

Aittala M and Durand F. 2018. Burst image deblurring using permutation invariant convolutional neural networks//Proceedings of the 15th European Conference on Computer Vision. Munich, Germany: Springer: 748-764[DOI: 10.1007/978-3-030-01237-3_45http://dx.doi.org/10.1007/978-3-030-01237-3_45]

Akyüz A O, Fleming R, Riecke B E, Reinhard E and Bülthoff H H. 2007. Do HDR displays support LDR content? A psychophysical evaluation. ACM Transactions on Graphics, 26(3): #38[DOI: 10.1145/1276377.1276425]

Alain M and Smolic A. 2017. Light field denoising by sparse 5D transform domain collaborative filtering//Proceedings of the 19th International Workshop on Multimedia Signal Processing. Luton, UK: IEEE: 1-6[DOI: 10.1109/MMSP.2017.8122232http://dx.doi.org/10.1109/MMSP.2017.8122232]

Alain M and Smolic A. 2018. Light field super-resolution via LFBM5D sparse coding//Proceedings of the 25th IEEE International Conference on Image Processing. Athens, Greece: IEEE: 2501-2505[DOI: 10.1109/ICIP.2018.8451162http://dx.doi.org/10.1109/ICIP.2018.8451162]

Alghamdi M, Fu Q, Thabet A and Heidrich W. 2021. Transfer deep learning for reconfigurable snapshot HDR imaging using coded masks. Computer Graphics Forum, 40(6): 90-103[DOI: 10.1111/cgf.14205]

Alperovich A, Johannsen O, Strecke M and Goldluecke B. 2018. Light field intrinsics with a deep encoder-decoder network//Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, USA: IEEE: 9145-9154[DOI: 10.1109/CVPR.2018.00953http://dx.doi.org/10.1109/CVPR.2018.00953]

Antipa N, Kuo G, Heckel R, Mildenhall B, Bostan E, Ng R and Waller L. 2018. DiffuserCam: lensless single-exposure 3D imaging. Optica, 5(1): 1-9[DOI: 10.1364/optica.5.000001]

Asatsuma T, Sakano Y, Iida S, Takami M, Yoshiba I, Ohba N, Mizuno H, Oka T, Yamaguchi K, Suzuki A and Suzuki K. 2019. Sub-pixel architecture of CMOS image sensor achieving over 120 db dynamic range with less motion artifact characteristics//Proceedings of 2019 International Image Sensor Workshop, [s. l.]: [s. n.]: 250-253

Asif M S, Ayremlou A, Sankaranarayanan A, Veeraraghavan A and Baraniuk R G. 2017. FlatCam: thin, lensless cameras using coded aperture and computation. Transactions on Computational Imaging, 3(3): 384-397[DOI: 10.1109/tci.2016.2593662]

Baek S H, Ikoma H, Jeon D S, Li Y Q, Heidrich W, Wetzstein G and Kim M H. 2021. Single-shot hyperspectral-depth imaging with learned diffractive optics//Proceedings of 2021 IEEE/CVF International Conference on Computer Vision. Montreal, Canada: IEEE: 2631-2640[DOI: 10.1109/ICCV48922.2021.00265http://dx.doi.org/10.1109/ICCV48922.2021.00265]

Baek S H, Kim I, Gutierrez D and Kim M H. 2017. Compact single-shot hyperspectral imaging using a prism. ACM Transactions on Graphics, 36(6): #217[DOI: 10.1145/3130800.3130896]

Banerji S, Meem M, Majumder A, Vasquez F G, Sensale-Rodriguez B and Menon R. 2019. Imaging with flat optics: metalenses or diffractive lenses? Optica, 6(6): 805-810[DOI: 10.1364/optica.6.000805]

Banterle F, Artusi A, Debattista K and Chalmers A. 2011. Advanced High Dynamic Range Imaging: Theory and Practice. Natick: A K Peters

Banterle F, Ledda P, Debattista K and Chalmers A. 2006. Inverse tone mapping//Proceedings of the 4th International Conference on Computer Graphics and Interactive Techniques in Australasia and Southeast Asia. Kuala, Indonesia: ACM: 349-356[DOI: 10.1145/1174429.1174489http://dx.doi.org/10.1145/1174429.1174489]

Bao J and Bawendi M G. 2015. A colloidal quantum dot spectrometer. Nature, 523(7558): 67-70[DOI: 10.1038/nature14576]

Barron J T. 2015. Convolutional color constancy//Proceedings of 2015 IEEE International Conference on Computer Vision. Santiago, Chile: IEEE: 379-387[DOI: 10.1109/ICCV.2015.51http://dx.doi.org/10.1109/ICCV.2015.51]

Barron J T and Tsai Y T. 2017. Fast fourier color constancy//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, USA: IEEE: 886-894[DOI: 10.1109/CVPR.2017.735http://dx.doi.org/10.1109/CVPR.2017.735]

Bartels J R, Wang J, Whittaker W and Narasimhan S G. 2019. Agile depth sensing using triangulation light curtains//Proceedings of 2019 IEEE/CVF International Conference on Computer Vision. Seoul, Korea(South): IEEE: 7899-7907[DOI: 10.1109/ICCV.2019.00799http://dx.doi.org/10.1109/ICCV.2019.00799]

Bodkin A, Sheinis A, Norton A, Daly J, Beaven S and Weinheimer J. 2009. Snapshot hyperspectral imaging: the hyperpixel array camera//Proceedings of SPIE 7334, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV. Orlando, USA: SPIE: #818929[DOI: 10.1117/12.818929http://dx.doi.org/10.1117/12.818929]

Bok Y, Jeon H G and Kweon I S. 2017. Geometric calibration of micro-lens-based light field cameras using line features. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(2): 287-300[DOI: 10.1109/TPAMI.2016.2541145]

Boominathan V, Adams J K, Asif M S, Avants B W, Robinson J T, Baraniuk R G, Sankaranarayanan A C and Veeraraghavan A. 2016. Lensless imaging: a computational renaissance. IEEE Signal Processing Magazine, 33(5): 23-35[DOI: 10.1109/msp.2016.2581921]

Boominathan V, Adams J K, Robinson J T and Veeraraghavan A. 2020. PhlatCam: designed phase-mask based thin lensless camera. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(7): 1618-1629[DOI: 10.1109/tpami.2020.2987489]

Boominathan V, Robinson J T, Waller L and Veeraraghavan A. 2022. Recent advances in lensless imaging. Optica, 9(1): 1-16[DOI: 10.1364/optica.431361]

Brady D J and Gehm M E. 2006. Compressive imaging spectrometers using coded apertures//Proceedings of SPIE 6246, Visual Information Processing XV. Orlando, USA: SPIE: #667605[DOI: 10.1117/12.667605http://dx.doi.org/10.1117/12.667605]

Brainard D H and Freeman W T. 1997. Bayesian color constancy. Journal of the Optical Society of America A, 14(7): 1393-1411[DOI: 10.1364/josaa.14.001393]

Brooks T, Mildenhall B, Xue T F, Chen J W, Sharlet D and Barron J T. 2019. Unprocessing images for learned raw denoising//Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Long Beach, USA: IEEE: 11028-11037[DOI: 10.1109/CVPR.2019.01129http://dx.doi.org/10.1109/CVPR.2019.01129]

Buchsbaum G. 1980. A spatial processor model for object colour perception. Journal of the Franklin Institute, 310(1): 1-26[DOI: 10.1016/0016-0032(80)90058-7]

Cadusch J J, Meng J J, Craig B and Crozier K B. 2019. Silicon microspectrometer chip based on nanostructured fishnet photodetectorswith tailored responsivities and machine learning. Optica, 6(9): 1171-1177[DOI: 10.1364/optica.6.001171]

Cai Z W, Chen J W, Pedrini G, Osten W, Liu X L and Peng X. 2020. Lensless light-field imaging through diffuser encoding. Light: Science and Applications, 9(1): #143[DOI: 10.1038/s41377-020-00380-x]

Cao X, Lai K, Yanushkevich S N and Smith M R. 2020. Adversarial and adaptive tone mapping operator for high dynamic range images//Proceedings of 2020 IEEE Symposium Series on Computational Intelligence (SSCI). Canberra, Australia: IEEE: 1814-1821[DOI: 10.1109/SSCI47803.2020.9308535http://dx.doi.org/10.1109/SSCI47803.2020.9308535]

Cao X, Tong X, Dai Q H and Lin S. 2011. High resolution multispectral video capture with a hybrid camera system//Proceedings of the CVPR 2011. Colorado Springs, USA: IEEE: 297-304[DOI: 10.1109/CVPR.2011.5995418http://dx.doi.org/10.1109/CVPR.2011.5995418]

Cao X, Yue T, Lin X, Lin S, Yuan X, Dai Q H, Carin L and Brady D J. 2016. Computational snapshot multispectral cameras: Toward dynamic capture of the spectral world. IEEE Signal Processing Magazine, 33(5): 95-108[DOI: 10.1109/msp.2016.2582378]

Capasso F. 2018. The future and promise of flat optics: a personal perspective. Nanophotonics, 7(6): 953-957[DOI: 10.1515/nanoph-2018-0004]

Carlsohn M F, Kemmling A, Petersen A and Wietzke L. 2016.3D real-time visualization of blood flow in cerebral aneurysms by light field particle image velocimetry//Proceedings of SPIE 9897, Real-Time Image and Video Processing. Brussels, Belgium: SPIE: #2220417[DOI: 10.1117/12.2220417http://dx.doi.org/10.1117/12.2220417]

Chang M, Feng H J, Xu Z H and Li Q. 2018. Exposure correction and detail enhancement for single LDR image. Acta Photonica Sinica, 47(4): #0410003

常猛, 冯华君, 徐之海, 李奇. 2018. 单张LDR图像的曝光校正与细节增强. 光子学报, 47 (4): #0410003[DOI: 10.3788/gzxb20184704.0410003]

Chang J L, Sitzmann V, Dun X, Heidrich W and Wetzstein G. 2018. Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classification. Scientific Reports, 8(1): #12324[DOI: 10.1038/s41598-018-30619-y]

Chang J L and Wetzstein G. 2019. Deep optics for monocular depth estimation and 3D object detection//Proceedings of 2019 IEEE/CVF International Conference on Computer Vision. Seoul, Korea(South): IEEE: 10192-10201[DOI: 10.1109/ICCV.2019.01029http://dx.doi.org/10.1109/ICCV.2019.01029]

Chen B and Pan B. 2018. Full-field surface 3D shape and displacement measurements using an unfocused plenoptic camera. Experimental Mechanics, 58(5): 831-845[DOI: 10.1007/s11340-018-0383-6]

Chen C, Chen Q F, Do M and Koltun V. 2019. Seeing motion in the dark//Proceedings of 2019 IEEE/CVF International Conference on Computer Vision. Seoul, Korea(South): IEEE: 3184-3193[DOI: 10.1109/ICCV.2019.00328http://dx.doi.org/10.1109/ICCV.2019.00328]

Chen C, Chen Q F, Xu J and Koltun V. 2018a. Learning to see in the dark//Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, USA: IEEE: 3291-3300[DOI: 10.1109/CVPR.2018.00347http://dx.doi.org/10.1109/CVPR.2018.00347]

Chen J W, Paris S and Durand F. 2007a. Real-time edge-aware image processing with the bilateral grid. ACM Transactions on Graphics, 26(3): #103[DOI: 10.1145/1276377.1276506]

Chen K, Feng H J, Xu Z H, Li Q and Chen Y T. 2015. Fast detail-preserving exposure fusion. Journal of Zhejiang University (Engineering Science), 49(6): 1048-1054

陈阔, 冯华君, 徐之海, 徐之海, 李奇, 陈跃庭. 2015. 细节保持的快速曝光融合. 浙江大学学报(工学版), 49(6): 1048-1054[DOI: 10.3785/j.issn.1008-973X.2015.06.007http://dx.doi.org/10.3785/j.issn.1008-973X.2015.06.007]

Chen T B, Lensch H P A, Fuchs C and Seidel HP. 2007b. Polarization and phase-shifting for 3D scanning of translucent objects//Proceedings of 2007 IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis, USA: IEEE: 1-8[DOI: 10.1109/CVPR.2007.383209http://dx.doi.org/10.1109/CVPR.2007.383209]

Chen T B, Seidel H P and Lensch H P A. 2008. Modulated phase-shifting for 3D scanning//Proceedings of 2008 IEEE Conference on Computer Vision and Pattern Recognition. Anchorage, USA: IEEE: 1-8[DOI: 10.1109/CVPR.2008.4587836http://dx.doi.org/10.1109/CVPR.2008.4587836]

Chen W and Wang Q. 2020. Reconstruction method of HDR image based on convolutional neural network for LDR image. Packaging Engineering, 41(5): 228-234

陈文, 王强. 2020. 基于卷积神经网络的LDR图像重建HDR图像的方法研究. 包装工程, 41(5): 228-234[DOI: 10.19554/j.cnki.1001-3563.2020.05.033]

Chen X Y, Liu Y H, Zhang Z W, Qiao Y and Dong C. 2021. HDRUNet: single image HDR reconstruction with denoising and dequantization//Proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, USA: IEEE: 354-363[DOI: 10.1109/CVPRW53098.2021.00045http://dx.doi.org/10.1109/CVPRW53098.2021.00045]

Chen Y Y, Jiang G Y, Shao H, Jiang H and Yu M. 2018. Noise suppression algorithm in the process of high dynamic range image fusion. Opto-Electronic Engineering, 45(7): #180083

陈晔曜, 蒋刚毅, 邵华, 姜浩, 郁梅. 2018. 高动态范围图像融合过程中的噪声抑制算法. 光电工程, 45(7): #180083[DOI: 10.12086/oee.2018.180083]

Cheng D L, Prasad D K and Brown M S. 2014. Illuminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution. Journal of the Optical Society of America A, 31(5): 1049-1058[DOI: 10.1364/josaa.31.001049]

Cheng Y, Cao J, Zhang Y K and Hao Q. 2019b. Review of state-of-the-art artificial compound eye imaging systems. Bioinspiration and Biomimetics, 14(3): #031002[DOI: 10.1088/1748-3190/aaffb5]

Cheng Z, Xiong Z W, Chen C and Liu D. 2019a. Light field super-resolution: a benchmark//Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. Long Beach, USA: IEEE: 1804-1813[DOI: 10.1109/CVPRW.2019.00231http://dx.doi.org/10.1109/CVPRW.2019.00231]

Choi S, Cho J, Song W, Choe J, Yoo J and Sohn K. 2020. Pyramid inter-attention for high dynamic range imaging. Sensors, 20(18): #5102[DOI: https://doi.org/10.3390/s20185102]

Content R, Blake S, Dunlop C, Nandi D, Sharples R, Talbot G, Shanks T, Donoghue D, Galiatsatos N and Luke P. 2013. New microslice technology for hyperspectral imaging. Remote Sensing, 5(3): 1204-1219[DOI: 10.3390/rs5031204]

Couture V, Martin N and Roy S. 2011. Unstructured light scanning to overcome interreflections//Proceedings of 2011 International Conference on Computer Vision. Barcelona, Spain: IEEE: 1895-1902[DOI: 10.1109/ICCV.2011.6126458http://dx.doi.org/10.1109/ICCV.2011.6126458]

Craig B,Shrestha V R, Meng J J, Cadusch J J and Crozier K B. 2018. Experimental demonstration of infrared spectral reconstruction using plasmonic metasurfaces. Optics Letters, 43(18): 4481-4484[DOI: 10.1364/OL.43.004481]

Dansereau D G, Pizarro O and Williams S B. 2013. Decoding, calibration and rectification for lenselet-based plenoptic cameras//Proceedings of 2013 IEEE Conference on Computer Vision and Pattern Recognition. Portland, USA: IEEE: 1027-1034[DOI: 10.1109/CVPR.2013.137http://dx.doi.org/10.1109/CVPR.2013.137]

Debevec P E and Malik J. 1997. Recovering high dynamic range radiance maps from photographs//Proceedings of the 24th annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH '97). USA: ACM: 369-378[DOI: https://doi.org/10.1145/258734.258884https://doi.org/10.1145/258734.258884]

Debevec P E and Malik J. 2008. Recovering high dynamic range radiance maps from photographs//Proceedings of the ACM SIGGRAPH 2008 Classes. Los Angeles, USA: ACM: #31[DOI: 10.1145/1401132.1401174http://dx.doi.org/10.1145/1401132.1401174]

DeWeert M J and Farm B P. 2015. Lensless coded-aperture imaging with separable Doubly-Toeplitz masks. Optical Engineering, 54(2): #023102[DOI: 10.1117/1.oe.54.2.023102]

Ding J F, Li H T, Ma H X, Shi S X and New T H. 2019. A novel light field imaging based 3D geometry measurement technique for turbomachinery blades. Measurement Science and Technology, 30(11): #115901[DOI: 10.1088/1361-6501/ab310b]

Ding J F, Lim H D, Sheikh S, Xu S M, Shi S X and New T H. 2018. Volumetric measurement of a supersonic jet with single-camera light-field PIV//The 19th International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics. Lisbon, Porugal: [s. n.]

Drago F, Myszkowski K, Annen T and Chiba N. 2003. Adaptive logarithmic mapping for displaying high contrast scenes. Computer Graphics Forum, 22(3): 419-426[DOI: 10.1111/1467-8659.00689]

Du L, Sun H Y, Wang S, Gao Y X and Qi Y Y.2017. High dynamic range image fusion algorithm for moving targets. Acta Optica Sinica, 37(4): 101-109

都琳, 孙华燕, 王帅, 高宇轩, 齐莹莹. 2017. 针对动态目标的高动态范围图像融合算法研究. 光学学报, 37(4): 101-109[DOI: 10.3788/AOS201737.0410001]

Dun X, Ikoma H, Wetzstein G, Wang Z, Cheng X and Peng Y. 2020. Learned rotationally symmetric diffractive achromat for full-spectrum computational imaging. Optica, 7(8): 913-922[DOI: https://doi.org/10.1364/OPTICA.394413]

Durand F and Dorsey J. 2000. Interactive tone mapping//Proceedings of the Eurographics Workshop on Rendering Techniques. Czech Republic: Springer: 219-230[DOI: 10.1007/978-3-7091-6303-0_20http://dx.doi.org/10.1007/978-3-7091-6303-0_20]

Durand F and Dorsey J. 2002. Fast bilateral filtering for the display of high-dynamic-range images//Proceedings of the 29th annual Conference on Computer Graphics and Interactive Techniques. San Antonio, USA: ACM: 257-266[DOI: 10.1145/566570.566574http://dx.doi.org/10.1145/566570.566574]

Dwight J G and Tkaczyk T S. 2017. Lenslet array tunable snapshot imaging spectrometer (LATIS) for hyperspectral fluorescence microscopy. Biomedical Optics Express, 8(3): 1950-1964[DOI: 10.1364/boe.8.001950]

Egiazarian K and Katkovnik V. 2015. Single image super-resolution via BM3D sparse coding//Proceedings of the 23rd European Signal Processing Conference. Nice, France: IEEE: 2849-2853[DOI: 10.1109/EUSIPCO.2015.7362905http://dx.doi.org/10.1109/EUSIPCO.2015.7362905]

Eigen D, Puhrsch C and Fergus R. 2014. Depth map prediction from a single image using a multi-scale deep network//Proceedings of the 27th International Conference on Neural Information Processing Systems. Montreal, Canada: MIT Press: 2366-2374

Eilertsen G, Kronander J, Denes G, Mantiuk R K and Unger J. 2017. HDR image reconstruction from a single exposure using deep CNNs. ACM Transactions on Graphics, 36(6): #178[DOI: 10.1145/3130800.3130816]

Eisemann E and Durand F. 2004. Flash photography enhancement via intrinsic relighting. ACM Transactions on Graphics, 23(3): 673-678[DOI: 10.1145/1015706.1015778]

Endo Y, Kanamori Y and Mitani J. 2017. Deep reverse tone mapping. ACMTransactions on Graphics, 36(6): #177[DOI: 10.1145/3130800.3130834]

Erdozain J, Ichimaru K, Maeda T, Kawasaki H, Raskar R and Kadambi A. 2020.3d imaging for thermal cameras using structured light//Proceedings of 2020 IEEE International Conference on Image Processing. Abu Dhabi, United Arab Emirates: IEEE: 2795-2799[DOI: 10.1109/ICIP40778.2020.9191297http://dx.doi.org/10.1109/ICIP40778.2020.9191297]

Fahringer T W, Lynch K P and Thurow B S. 2015. Volumetric particle image velocimetry with a single plenoptic camera. Measurement Science and Technology, 26(11): #115201[DOI: 10.1088/0957-0233/26/11/115201]

Fahringer T W and Thurow B S. 2016. Filtered refocusing: a volumetric reconstruction algorithm for plenoptic-PIV. Measurement Science and Technology, 27(9): #094005[DOI: 10.1088/0957-0233/27/9/094005]

Fahringer T W and Thurow B S. 2018. Plenoptic particle image velocimetry with multiple plenoptic cameras. Measurement Science and Technology, 29(7): #075202[DOI: 10.1088/1361-6501/aabe1d]

Feng W, Liu H D, Wu G M and Zhao D X. 2020. Gradient domain adaptive tone mapping algorithm based on color correction model. Laser and Optoelectronics Progress, 57(8): #081007

冯维, 刘红帝, 吴贵铭, 赵大兴. 2020. 基于颜色校正模型的梯度域自适应色调映射算法. 激光与光电子学进展, 57(8): #081007[DOI: 10.3788/LOP57.081007]

Feng W, Zhang F M, Qu X H and Zheng S W. 2016. Per-pixel coded exposure for high-speed and high-resolution imaging using a digital micromirror device camera. Sensors, 16(3): #331[DOI: 10.3390/s16030331]

Feng W, Zhang F M, Wang W J and Qu X H. 2017. Adaptive high-dynamic-range imaging method and its application based on digital micromirror device. Acta Physica Sinica, 66(23): #234201

冯维, 张福民, 王惟婧, 曲兴华. 2017. 基于数字微镜器件的自适应高动态范围成像方法及应用. 物理学报, 66(23): #234201

Feng W, Zhang F M, Wang W J, Xing W and Qu X H. 2017. Digitalmicromirror device camera with per-pixel coded exposure for high dynamic range imaging. Applied Optics, 56(13): 3831-3840[DOI: 10.1364/AO.56.003831]

Finlayson G D, Hordley S D and Tastl I. 2006. Gamut constrained illuminant estimation. International Journal of Computer Vision, 67(1): 93-109[DOI: 10.1007/s11263-006-4100-z]

Finlayson G D and Trezzi E. 2004. Shades of gray and colour constancy//Proceedings of the 12th Color and Imaging Conference Final Program and Proceedings. [s. l.]: Society for Imaging Science and Technology: 37-41

Frank S A. 2018. A biochemical logarithmic sensor with broad dynamic range. F1000Research, 7: #200[DOI: 10.12688/f1000research.14016.3]

French R, Gigan S and Muskens O L. 2017. Speckle-based hyperspectral imaging combining multiple scattering and compressive sensing in nanowire mats. Optics Letters, 42(9): 1820-1823[DOI: 10.1364/ol.42.001820]

Fu Q, Yan D M and Heidrich W. 2021. Compound eye inspired flat lensless imaging with spatially-coded Voronoi-Fresnel phase[EB/OL]. [2021-12-15].https://arxiv.org/pdf/2109.13703.pdfhttps://arxiv.org/pdf/2109.13703.pdf

Fu Y, Zhang T, Zheng Y Q, Zhang D B and Huang H. 2022. Joint camera spectral response selection and hyperspectral image recovery. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(1): 256-272[DOI: 10.1109/TPAMI.2020.3009999]

Gallo O, Gelfandz N, Chen W C, Tico M and Pulli K. 2009. Artifact-free high dynamic range imaging//Proceedings of 2009 IEEE International Conference on Computational Photography. San Francisco, USA: IEEE: 1-7[DOI: 10.1109/ICCPHOT.2009.5559003http://dx.doi.org/10.1109/ICCPHOT.2009.5559003]

Gao L, Kester R T, Hagen N and Tkaczyk T S. 2010. Snapshot Image Mapping Spectrometer (IMS) with high sampling density for hyperspectral microscopy. Optics Express, 18(14): 14330-14344[DOI: 10.1364/oe.18.014330]

Gabor, D. 1948. A New Microscopic Principle. Nature 161, 777-778[DOI: https://doi.org/10.1038/161777a0]

Gat N, Scriven G, Garman J, Li M D and Zhang J Y. 2006. Development of four-dimensional imaging spectrometers (4D-IS)//Proceedings of SPIE 6302, Imaging Spectrometry XI. San Diego, USA: SPIE: #678082[DOI: 10.1117/12.678082http://dx.doi.org/10.1117/12.678082]

Geelen B, Jayapala M, Tack N and Lambrechts A. 2013. Low-complexity image processing for a high-throughput low-latency snapshot multispectral imager with integrated tiled filters//Proceedings of SPIE 8743, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIX. Baltimore, USA: SPIE: #2015248[DOI: 10.1117/12.2015248http://dx.doi.org/10.1117/12.2015248]

Geelen B, Tack N and Lambrechts A. 2014. A compact snapshot multispectral imager with a monolithically integrated per-pixel filter mosaic//Proceedings of SPIE 8974, Advanced Fabrication Technologies for Micro/Nano Optics and Photonics VⅡ. San Francisco, USA: SPIE: 2037607[DOI: 10.1117/12.2037607http://dx.doi.org/10.1117/12.2037607]

Gehler P V, Rother C, Blake A, Minka T and Sharp T. 2008. Bayesian color constancy revisited//Proceedings of 2008 IEEE Conference on Computer Vision and Pattern Recognition. Anchorage, USA: IEEE: 1-8[DOI: 10.1109/CVPR.2008.4587765http://dx.doi.org/10.1109/CVPR.2008.4587765]

Georgiev T, Chunev G and Lumsdaine A. 2011. Superresolution with the focused plenoptic camera//Proceedings of SPIE 7873, Computational Imaging IX. San Francisco, USA: SPIE: #78730X[DOI: 10.1117/12.872666http://dx.doi.org/10.1117/12.872666]

Gershun A. 1939. The light field. Journal of Mathematics and Physics, 18(1/4): 51-151[DOI: 10.1002/sapm193918151]

Gharbi M, Chen J W, Barron J T, Hasinoff S W and Durand F. 2017. Deep bilateral learning for real-time image enhancement. ACM Transactions on Graphics, 36(4): #118[DOI: 10.1145/3072959.3073592]

Gill P R. 2013. Odd-symmetry phase gratings produce optical nulls uniquely insensitive to wavelength and depth. Optics Letters, 38(12): 2074-2076[DOI: 10.1364/ol.38.002074]

Gluskin M G. 2020. Quad color filter array camera sensor configurations. U.S., No. 16/715, 570

Gnanasambandam A and Chan S H. 2020. HDR imaging with quanta image sensors: theoretical limits and optimal reconstruction. IEEE Transactions on Computational Imaging, 6: 1571-1585[DOI: 10.1109/tci.2020.3041093]

Godard C, Matzen K and Uyttendaele M. 2018. Deep burst denoising//Proceedings of the 15th European Conference on Computer Vision. Munich, Germany: Springer: 560-577[DOI: 10.1007/978-3-030-01267-0_33http://dx.doi.org/10.1007/978-3-030-01267-0_33]

Golub M A, Averbuch A, Nathan M, Zheludev V A, Hauser J, Gurevitch S, Malinsky R and Kagan A. 2016. Compressed sensing snapshot spectral imaging by a regular digital camera with an added optical diffuser. Applied Optics, 55(3): 432-443[DOI: 10.1364/ao.55.000432]

Goshtasby A A. 2005. Fusion of multi-exposure images. Image and Vision Computing, 23(6): 611-618[DOI: 10.1.1.103.2389http://dx.doi.org/10.1.1.103.2389]

Granados M, Kim K I, Tompkin J and Theobalt C. 2013. Automatic noise modeling for ghost-free HDR reconstruction. ACM Transactions on Graphics, 32(6): #201[DOI: 10.1145/2508363.2508410]

Grossberg M D, and Nayar S K. 2003. October. High dynamic range from multiple images: Which exposures to combine//Proceedings of ICCV Workshop on Color and Photometric Methods in Computer Vision (CPMCV). Nice, France: CPMCV: #3

Gu B, Li W J, Wong J T, Zhu M Y and Wang M H. 2012. Gradient field multi-exposure images fusion for high dynamic range image visualization. Journal of Visual Communication and Image Representation, 23(4): 604-610[DOI: 10.1016/j.jvcir.2012.02.009]

Gu J W, Kobayashi T, Gupta M and Nayar S K. 2011. Multiplexed illumination for scene recovery in the presence of global illumination//Proceedings of 2011 International Conference on Computer Vision. Barcelona, Spain: IEEE: 691-698[DOI: 10.1109/ICCV.2011.6126305http://dx.doi.org/10.1109/ICCV.2011.6126305]

Guan X M, Qu X H, Niu B, Zhang Y J and Zhang F M. 2021. Pixel-level mapping method in high dynamic range imaging system based on DMD modulation. Optics Communications, 499: #127278[DOI: 10.1016/j.optcom.2021.127278]

Guo X J, Li Y, Ma J Y and Ling H B. 2020. Mutually guided image filtering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(3): 694-707[DOI: 10.1109/tpami.2018.2883553]

Gupta A, Ingle A and Gupta M. 2019b. Asynchronous single-photon 3D imaging//Proceedings of 2019 IEEE/CVF International Conference on Computer Vision. Seoul, Korea(South): IEEE: 7908-7917[DOI: 10.1109/ICCV.2019.00800http://dx.doi.org/10.1109/ICCV.2019.00800]

Gupta A, Ingle A, Velten A and Gupta M. 2019a. Photon-flooded single-photon 3D cameras//Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Long Beach, USA: IEEE: 6763-6772[DOI: 10.1109/CVPR.2019.00693http://dx.doi.org/10.1109/CVPR.2019.00693]

Gupta M, Agrawal A, Veeraraghavan A and Narasimhan S G. 2011. Structured light 3D scanning in the presence of global illumination//Proceedings of the CVPR 2011. Colorado Springs, USA: IEEE: 713-720[DOI: 10.1109/CVPR.2011.5995321http://dx.doi.org/10.1109/CVPR.2011.5995321]

Gupta M and Nayar S K. 2012. Micro phase shifting//Proceedings of 2012 IEEE Conference on Computer Vision and Pattern Recognition. Providence, USA: IEEE: 813-820[DOI: 10.1109/CVPR.2012.6247753http://dx.doi.org/10.1109/CVPR.2012.6247753]

Gupta M, Nayar S K, Hullin M B and Martin J. 2015. Phasor imaging: a generalization of correlation-based time-of-flight imaging. ACM Transactions on Graphics, 34(5): #156[DOI: 10.1145/2735702]

Gupta M, Yin Q and Nayar S K. 2013. Structured light in sunlight//Proceedings of 2013 IEEE International Conference on Computer Vision. Sydney, Australia: IEEE: 545-552[DOI: 10.1109/ICCV.2013.73http://dx.doi.org/10.1109/ICCV.2013.73]

Haim H, Elmalem S, Giryes R, Bronstein A M and Marom E. 2018. Depth estimation from a single image using deep learned phase coded mask. IEEE Transactions on Computational Imaging, 4(3): 298-310[DOI: 10.1109/tci.2018.2849326]

Halé A, Trouvé-Peloux P. and Volatier J B. 2021. End-to-end sensor and neural network design using differential ray tracing. Optics Express, 29(21): 34748-34761[DOI: https://doi.org/10.1364/OE.439571]

Hall E M, Fahringer T W, Guildenbecher D R and Thurow B S. 2018. Volumetric calibration of a plenoptic camera. Applied Optics, 57(4): 914-923[DOI: 10.1364/AO.57.000914]

Han J, Zhou C, Duan P Q, Tang Y H, Xu C, Xu C, Huang T J and Shi B X. 2020. Neuromorphic camera guided high dynamic range imaging//Proceedings of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, USA: IEEE: 1727-1736[DOI: 10.1109/CVPR42600.2020.00180http://dx.doi.org/10.1109/CVPR42600.2020.00180]

Hanwell D, Alassane S E C K and Kornienko A. 2020. Spatially multiplexed exposure. U.S., 16150884

Hasinoff S W, Durand F and Freeman W T. 2010. Noise-optimal capture forhigh dynamic range photography//Proceedings of 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Francisco, USA: IEEE: 553-560[DOI: 10.1109/CVPR.2010.5540167http://dx.doi.org/10.1109/CVPR.2010.5540167]

Hasinoff S W, Sharlet D, Geiss R, Adams A, Barron J T, Kainz F, Chen J W and Levoy M. 2016. Burst photography for high dynamic range and low-light imaging on mobile cameras. ACM Transactions on Graphics, 35(6): #192[DOI: 10.1145/2980179.2980254]

He L, Chen G, Guo H and Jin W Q. 2020. A dynamic scene HDR fusion method based on dual-channel low-light-level CMOS camera. Infrared Technology, 42(4): 340-347

贺理, 陈果, 郭宏, 金伟其. 2020. 一种基于双通道CMOS相机的低照度动态场景HDR融合方法. 红外技术, 42(4): 340-347

He S W. 2015. Study of Pixel-Level Light Adjusting Technology Based on DMD. Changchun: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences

何舒文. 2015. 基于数字微镜的像素级调光技术研究. 长春: 中国科学院研究生院(长春光学精密机械与物理研究所)

Heber S and Pock T. 2016. Convolutional networks for shape from light field//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, USA: IEEE: 3746-3754[DOI: 10.1109/CVPR.2016.407http://dx.doi.org/10.1109/CVPR.2016.407]

Heber S, Yu W and Pock T. 2017. Neural EPI-volume networks for shape from light field//Proceedings of 2017 IEEE International Conference on Computer Vision. Venice, Italy: IEEE: 2271-2279[DOI: 10.1109/ICCV.2017.247http://dx.doi.org/10.1109/ICCV.2017.247]

Heide F, Steinberger M, Tsai Y T, Rouf M, Pająk D, Reddy D, Gallo O, Liu J, Heidrich W, Egiazarian K, Kautz J and Pulli K. 2014. FlexISP: a flexible camera image processing framework ACM Transactions on Graphics, 33(6): #231[DOI: 10.1145/2661229.2661260http://dx.doi.org/10.1145/2661229.2661260]

Hou X L, Zhang J C and Zhou P P. 2021. Reconstructing a high dynamic range image with a deeply unsupervised fusion model. IEEE Photonics Journal, 13(2): #3900210[DOI: 10.1109/JPHOT.2021.3058740]

Hou X, Duan J and Qiu G. 2017. Deep feature consistent deep image transformations: Downscaling, decolorization and HDR tone mapping[EB/OL]. [2021-12-15].https://arxiv.org/pdf/1707.09482.pdfhttps://arxiv.org/pdf/1707.09482.pdf

Hu J, Gallo O, Pulli K and Sun X B. 2013. HDR deghosting: how to deal with saturation?//Proceedings of 2013 IEEE Conference on Computer Vision and Pattern Recognition. Portland, USA: IEEE: 1163-1170[DOI: 10.1109/CVPR.2013.154http://dx.doi.org/10.1109/CVPR.2013.154]

Hu Y M, Wang B Y and Lin S. 2017. FC4: fully convolutional color constancy with confidence-weighted pooling//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, USA: IEEE: 330-339[DOI: 10.1109/CVPR.2017.43http://dx.doi.org/10.1109/CVPR.2017.43].

Hu Y X and Wan L. 2014. Multi exposure image fusion based on dynamic range extending. Computer Engineering and Application, 50(1): 153-155, 214

胡燕翔, 万莉. 2014. 大动态范围多曝光图像融合方法. 计算机工程与应用, 50(1): 153-155, 214[DOI: 10.3778/j.issn.1002-8331.1203-0003]

Huang E, Ma Q and Liu Z W. 2017. Etalon array reconstructive spectrometry. Scientific Reports, 7(1): #40693[DOI: 10.1038/srep40693]

Huang F, Zhou D M, Nie R C and Yu C B. 2018a. A color multi-exposure image fusion approach using structural patch decomposition. IEEE Access, 6: 42877-42885[DOI: 10.1109/access.2018.2859355]

Huang Q, Kim H Y, Tsai W J, Jeong S Y, Choi J S and Kuo C C J. 2018b. Understanding and removal of false contour in HEVC compressed images. IEEE Transactions on Circuits and Systems for Video Technology, 28(2): 378-391[DOI: 10.1109/TCSVT.2016.2607258]

Hubold M, Berlich R, Gassner C, Brüning R and Brunner R. 2018. Ultra-compact micro-optical system for multispectral imaging//Proceedings of SPIE 10545, MOEMS and Miniaturized Systems XVⅡ. San Francisco, USA: SPIE: #2295343[DOI: 10.1117/12.2295343http://dx.doi.org/10.1117/12.2295343]

Huynh T T, Nguyen T D, Vo M T and Dao S V T. 2019. High dynamic range imaging using a 2×2 camera array with polarizing filters//Proceedings of the 19th International Symposium on Communications and Information Technologies. Ho Chi Minh City, Vietnam: IEEE: 183-187[DOI: 10.1109/ISCIT.2019.8905122http://dx.doi.org/10.1109/ISCIT.2019.8905122]

Ignatov A, Patel J and Timofte R. 2020. Rendering natural camera bokeh effect with deep learning//Proceedings of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops. Seattle, USA: IEEE: 1676-1686[DOI: 10.1109/CVPRW50498.2020.00217http://dx.doi.org/10.1109/CVPRW50498.2020.00217]

Jeon D S, Baek S H, Yi S, Fu Q, Dun X, Heidrich W and Kim M H. 2019b. Compact snapshot hyperspectral imaging with diffracted rotation. ACM Transactions on Graphics, 38(4): #117[DOI: 10.1145/3306346.3322946]

Jeon H G, Park J, Choe G, Park J, Bok Y, Tai Y W and Kweon I S. 2015. Accurate depth map estimation from a lenslet light field camera//Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Boston, USA: IEEE: 1547-1555[DOI: 10.1109/CVPR.2015.7298762http://dx.doi.org/10.1109/CVPR.2015.7298762]

Jeon H G, Park J, Choe G, Park J, Bok Y, Tai Y W and Kweon I S. 2019a. Depth from a light field image with learning-based matching costs. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(2): 297-310[DOI: 10.1109/TPAMI.2018.2794979]

Jiang H Y and Zheng Y Q. 2019. Learning to see moving objects in the dark//Proceedings of 2019 IEEE/CVF International Conference on Computer Vision. Seoul, Korea(South): IEEE: 7323-7332[DOI: 10.1109/ICCV.2019.00742http://dx.doi.org/10.1109/ICCV.2019.00742]

Jiang S Y, Chen K, Xu Z H, Feng H J, Li Q and Chen Y T. 2015. Multi-exposure image fusion based on well-exposedness assessment. Journal of Zhejiang University (Engineering Science), 49(3): 470-475, 481

江燊煜,陈阔, 徐之海, 冯华君, 李奇, 陈跃庭. 2015. 基于曝光适度评价的多曝光图像融合方法. 浙江大学学报(工学版), 49(3): 470-475, 481[DOI: 10.3785/j.issn.1008-973X.2015.03.011]

Jiang Y T, Choi I, Jiang J and Gu J W. 2021. HDR video reconstruction with tri-exposure quad-bayer sensors[EB/OL]. [2021-12-15].https://arxiv.org/pdf/2103.10982.pdfhttps://arxiv.org/pdf/2103.10982.pdf

Johannsen O, Honauer K, Goldluecke B, Alperovich A, Battisti F, Bok Y, Brizzi M, Carli M, Choe G, Diebold M, Gutsche M, Jeon H G, Kweon I S, Park J, Park J, Schilling H, Sheng H, Si L P, Strecke M, Sulc A, Tai Y W, Wang Q, Wang T C, Wanner S, Xiong Z, Yu J Y, Zhang S and Zhu H. 2017. A taxonomy and evaluation of dense light field depth estimation algorithms//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops. Honolulu, USA: IEEE: 1795-1812[DOI: 10.1109/CVPRW.2017.226http://dx.doi.org/10.1109/CVPRW.2017.226]

Johannsen O, Sulc A and Goldluecke B. 2016. What sparse light field coding reveals about scene structure//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, USA: IEEE: 3262-3270[DOI: 10.1109/CVPR.2016.355http://dx.doi.org/10.1109/CVPR.2016.355]

Kalantari N K and Ramamoorthi R. 2017. Deep high dynamic range imaging of dynamic scenes. ACM Transactions on Graphics, 36(4): #144[DOI: 10.1145/3072959.3073609]

Kalantari N K, Shechtman E, Barnes C, Darabi S, Goldman D B and Sen P. 2013. Patch-based high dynamic range video. ACM Transactions on Graphics, 32(6): #202[DOI: 10.1145/2508363.2508402]

Kalantari N K and Ramamoorthi R. 2019. Deep HDR video from sequences with alternating exposures. Computer Graphics Forum, 38(2): 193-205[DOI: https://doi.org/10.1111/cgf.13630]

Kang S B, Uyttendaele M, Winder S and Szeliski R. 2003. High dynamic range video. ACM Transactions on Graphics (TOG), 22(3): 319-325. [DOI: https://doi.org/10.1145/882262.882270]

Kavadias S, Dierickx B, Scheffer D, Alaerts A, Uwaerts D and Bogaerts J. 2000. A logarithmic response CMOS image sensor with on-chip calibration. IEEE Journal of Solid-State Circuits, 35(8): 1146-1152[DOI: 10.1109/4.859503]

Kaya B, Can Y B and Timofte R. 2019. Towards spectral estimation from a single RGB image in the wild//Proceedings of 2019 IEEE/CVF International Conference on Computer Vision Workshop. Seoul, Korea(South): IEEE: 3546-3555[DOI: 10.1109/ICCVW.2019.00439http://dx.doi.org/10.1109/ICCVW.2019.00439]

Khan E A, Akyuz A O and Reinhard E. 2006. Ghost removal in high dynamic range images//Proceedings of 2006 International Conference on Image Processing. Atlanta, USA: IEEE: 2005-2008[DOI: 10.1109/ICIP.2006.312892http://dx.doi.org/10.1109/ICIP.2006.312892]

Khan S S, Sundar V, Boominathan V, Veeraraghavan A and Mitra K. 2022. FlatNet: towards photorealistic scene reconstruction from lensless measurements. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(4): 1934-1948[DOI: 10.1109/tpami.2020.3033882]

Khan Z, Khanna M and Raman S. 2019. November. Fhdr: Hdr image reconstruction from a single ldr image using feedback network//Proceedings of 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP). Ottawa, Canada: IEEE: #8969167[DOI: 10.1109/GlobalSIP45357.2019.8969167http://dx.doi.org/10.1109/GlobalSIP45357.2019.8969167]

Kim K, Bae J and Kim J. 2011. Natural HDR image tone mapping based on retinex. IEEE Transactions on Consumer Electronics, 57(4): 1807-1814[DOI: 10.1109/TCE.2011.6131157]

Kinoshita Y, Shiota S and Kiya H. 2017. Fast inverse tone mapping with Reinhard's global operator//Proceedings of 2017 IEEE International Conference on Acoustics, Speech and Signal Processing. New Orleans, USA: IEEE: 1972-1976[DOI: 10.1109/ICASSP.2017.7952501http://dx.doi.org/10.1109/ICASSP.2017.7952501]

Kinoshita Y, Shiota S, Kiya H and Yoshida T. 2018. Multi-exposure image fusion based on exposure compensation//Proceedings of 2018 IEEE International Conference on Acoustics, Speech and Signal Processing. Calgary, Canada: IEEE: 1388-1392[DOI: 10.1109/ICASSP.2018.8461604http://dx.doi.org/10.1109/ICASSP.2018.8461604]

Kovaleski R P and Oliveira M M. 2009. High-quality brightness enhancement functions for real-time reverse tone mapping. The Visual Computer, 25(5): 539-547[DOI: 10.1007/s00371-009-0327-310.1007/s00371-009-0327-3=0pt]

Krawczyk G, Myszkowski K and Seidel H P. 2005. Lightness perception in tone reproduction for high dynamic range images. Computer Graphics Forum, 24(3): 635-645[DOI: 10.1111/j.1467-8659.2005.00888.x]

Krishnan D and Fergus R. 2009. Dark flash photography. ACM Transactions on Graphics, 28(3): #96[DOI: 10.1145/1531326.1531402]

Kronander J, Gustavson S, Bonnet G, Ynnerman A and Unger J. 2014. A unified framework for multi-sensor HDR video reconstruction. Signal Processing: Image Communication, 29(2): 203-215[DOI: 10.1016/j.image.2013.08.018]

Landis H. 2002. Production-ready global illumination//RenderMan in Production//Proceedings of ACM SIGGRAPH 2002 Course Notes: 87-101

Larson G W, Rushmeier H and Piatko C. 1997. A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Transactions on Visualization and Computer Graphics, 3(4): 291-306[DOI: 10.1109/2945.646233]

Ledda P, Santos L P and Chalmers A. 2004. A local model of eye adaptation for high dynamic range images//Proceedings of the 3rd International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa. Stellenbosch, South Africa: ACM: 151-160[DOI: 10.1145/1029949.1029978http://dx.doi.org/10.1145/1029949.1029978]

Lee G J, Choi C, Kim D H and Song Y M. 2018a. Bioinspired artificial eyes: optic components, digital cameras, and visual prostheses. Advanced Functional Materials, 28(24): #1705202[DOI: 10.1002/adfm.201705202]

Lee S, An G H and Kang S J. 2018b. Deep chain HDRI: reconstructing a high dynamic range image from a single low dynamic range image. IEEE Access, 6: 49913-49924[DOI: 10.1109/access.2018.2868246]

Lefkimmiatis S. 2018. Universal denoising networks: a novel CNN architecture for image denoising//Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, USA: IEEE: 3204-3213[DOI: 10.1109/CVPR.2018.00338http://dx.doi.org/10.1109/CVPR.2018.00338]

Levoy M and Hanrahan P. 1996. Light field rendering//Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques. New Orleans, USA: ACM: 31-42[DOI: 10.1145/237170.237199http://dx.doi.org/10.1145/237170.237199]

Levoy M, Ng R, Adams A, Footer M and Horowitz M. 2006. Light field microscopy. ACM Transactions on Graphics, 25(3): 924-934[DOI: 10.1145/1141911.1141976]

Levoy M, Zhang Z and McDowall I. 2009. Recording and controlling the 4D light field in a microscope using microlens arrays. Journal of Microscopy, 235(2): 144-162[DOI: 10.1111/j.1365-2818.2009.03195.x]

Li C, Wang P and Bi D Y. 2018. Realistic image rendition based on intersecting cortical model. Journal of University of Electronic Science and Technology of China, 47(2): 272-278

李成, 汪沛, 毕笃彦. 2018. 基于交叉视觉皮质模型的真实图像再现方法. 电子科技大学学报, 47(2): 272-278[DOI: 10.3969/j.issn.1001-0548.2018.02.018]

Li H B, Dong Y, Liu Y Q, Zhao X and Song Y S. 2018. Image fusion method for improving dynamic range of camera. Infrared Technology, 40(9): 887-893

李洪博, 董岩, 刘云清, 赵馨, 宋延嵩. 2018. 可提高相机动态范围的图像融合方法研究. 红外技术, 40(9): 887-893

Li X A. 2018. Research and Implementation of Multi-Exposure Image Fusion Based on Convolutional Neural Networks. Jinan: Shandong University

李雪奥. 2018. 基于卷积神经网络的多曝光图像融合方法研究与实现. 济南: 山东大学

Li X C, Yao S Y, Huang B Z and Zheng W. 2013. A novel high dynamic range exposure control for CMOS image sensor. Chinese Journal of Sensors and Actuators, 26(3): 328-332

李晓晨, 姚素英, 黄碧珍, 郑炜. 2013. 一种应用于高动态范围CMOS图像传感器的曝光控制技术. 传感技术学报, 26(3): 328-332[DOI: 10.3969/j.issn.1004-1699.2013.03.007]

Li Z G, Zheng J H and Rahardja S. 2012. Detail-enhanced exposure fusion. IEEE Transactions on Image Processing, 21(11): 4672-4676[DOI: 10.1109/TIP.2012.2207396]

Li Z, Hou Q, Wang Z, Tan F, Liu J and Zhang W. 2021. End-to-end learned single lens design using fast differentiable ray tracing. Optics Letters, 46(21): 5453-5456[DOI: https://doi.org/10.1364/OL.442870]

Liang B, Weng D D, Bao Y H, Tu Z Q and Luo L. 2020. Method for reconstructing a high dynamic range image based on a single-shot filtered low dynamic range image. Optics Express, 28(21): 31057-31075[DOI: 10.1364/oe.400820]

Liba O, Murthy K, Tsai Y T, Brooks T, Xue T F, Karnad N, He Q R, Barron J T, Sharlet D, Geiss R, Hasinoff S W and Pritch Y. 2019. Handheld mobile photography in very low light. ACM Transactions on Graphics, 38(6): #164[DOI: 10.1145/3355089.3356508]

Lim J G, Ok H W, Park B K, Kang J Y and Lee S D. 2009. Improving the spatail resolution based on 4D light field data//Proceedings of the 16th IEEE International Conference on Image Processing. Cairo, Egypt: IEEE: 1173-1176[DOI: 10.1109/ICIP.2009.5413719http://dx.doi.org/10.1109/ICIP.2009.5413719]

Lin J Y, Liu Y B, Hullin M B and Dai Q H. 2014. Fourier analysis on transient imaging with a multifrequency time-of-flight camera//Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition. Columbus, USA: IEEE: 3230-3237[DOI: 10.1109/CVPR.2014.419http://dx.doi.org/10.1109/CVPR.2014.419]

Lin J Y, Liu Y B, Suo J L and Dai Q H. 2017. Frequency-domain transient imaging. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(5): 937-950[DOI: 10.1109/TPAMI.2016.2560814]

Lin X, Wu J M, Zheng G A and Dai Q H. 2015. Camera array based light field microscopy. Biomedical Optics Express, 6(9): 3179-3189[DOI: 10.1364/BOE.6.003179]

Lischinski D, Farbman Z, Uyttendaele M and Szeliski R. 2006. Interactive local adjustment of tonal values. ACM Transactions on Graphics, 25(3): 646-653[DOI: 10.1145/1141911.1141936]

Liu C. 2009. Beyond Pixels: Exploring New Representations and Applications for Motion Analysis. Cambridge: Massachusetts Institute of Technology

Liu F Y, Shen C H, Lin G S and Reid I. 2016. Learning depth from single monocular images using deep convolutional neural fields. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(10): 2024-2039[DOI: 10.1109/tpami.2015.2505283]

Liu L, Zarnowski J J, Karia K V, Poonnen T and Joyner M E. 2011. Sub-pixel array optical sensor. U.S., 8035711

Liu Y, Lyu B X, Huang W, Jin B H and Li C L. 2020. Anti-shake HDR imaging using RAW image data. Information, 11(4): #213[DOI: 10.3390/info11040213]

Liu Y, Wang F W, Liu W H, Ai D, Li Y and Yang F C. 2020. High dynamic range imaging algorithm based on luminance partition fuzzy fusion. Journal of Computer Applications, 40(1): 233-238

刘颖, 王凤伟, 刘卫华, 艾达, 李芸, 杨凡超. 2020. 基于亮度分区模糊融合的高动态范围成像算法. 计算机应用, 40(1): 233-238[DOI: 10.11772/j.issn.1001-9081.2019061032]

Liu Y, Wang Q and Liu W H. 2018. High dynamic range images tone mapping algorithm based on adaptive segmentation of luminance. Video Engineering, 42(1): 24-30, 44

刘颖, 王倩, 刘卫华. 2018. 基于亮度自适应分段的高动态图像色调映射算法. 电视技术, 42(1): 24-30, 44[DOI: 10.16280/j.videoe.2018.01:005]

Liu Y K, Zhang C Y, Kou T D, Li Y Y and Shen J F. 2021. End-to-end computational optics with a singlet lens for large depth-of-field imaging. Optics Express, 29(18): 28530-28548[DOI: 10.1364/OE.433067]

Liu Z Y. 2016. The Research on High Dynamic Range Image Synthesizing and Tone Mapping. Harbin: Harbin Engineering University

刘宗玥. 2016. 高动态范围图像的合成与色阶映射的研究. 哈尔滨: 哈尔滨工程大学

Lyu T, Fu D H, Chen X Y and Liu J. 2015. High dynamic range imaging technology using DMD. Chinese Journal of Optics, 8(4): 644-650

吕涛, 付东辉, 陈小云, 刘杰. 2015. 利用DMD获取高动态范围图像技术. 中国光学, 8(4): 644-650[DOI: 10.3788/CO.20150804.0644]

Lu B B, Li Y J, Zheng Y M and Wang Y K. 2017. A visual adaptive multi-scale logarithmic tone mapping algorithm. Journal of Chinese Computer Systems, 38(3): 625-629

芦碧波, 李玉静, 郑艳梅, 王玉琨. 2017. 视觉自适应多尺度对数色调映射算法. 小型微型计算机系统, 38(3): 625-629

Luan Y S, Mei D and Shi S X. 2021. Light-field multi-spectral radiation thermometry. Optics Letters, 46(1): 9-12[DOI: 10.1364/OL.408437]

Lucas B D and Kanade T. 1981. An iterative image registration technique with an application to stereo vision//Proceedings of the 7th International Joint Conference on Artificial Intelligence. Vancouver, Canada: Morgan Kaufmann Publishers Inc. : 674-679

Lumsdaine A and Georgiev T. 2008. Full Resolution Lightfield Rendering. Adobe Systems, Inc

Lumsdaine A and Georgiev T. 2009. The focused plenoptic camera//Proceedings of 2009 IEEE International Conference on Computational Photography. San Francisco, USA: IEEE: 1-8[DOI: 10.1109/ICCPHOT.2009.5559008http://dx.doi.org/10.1109/ICCPHOT.2009.5559008]

Luo X, Huang J B, Szeliski R, Matzen K and Kopf J. 2020. Consistent video depth estimation. ACM Transactions on Graphics, 39(4): #71[DOI: 10.1145/3386569.3392377]

Lyu W Z, Liu W Q, Wei Z L, Kang Y S, Feng R and Yang J M. 2014. Design of high dynamic range imaging optical system based on DMD. Infrared and Laser Engineering, 43(4): 1167-1171

吕伟振, 刘伟奇, 魏忠伦, 康玉思, 冯睿, 杨建明. 2014. 基于DMD的高动态范围成像光学系统设计. 红外与激光工程, 43(4): 1167-1171[DOI: 10.3969/j.issn.1007-2276.2014.04.026]

Ma H D, Qian Z W, Mu T T and Shi S X. 2019. Fast and accurate 3D measurement based on light-field camera and deep learning. Sensors, 19(20): #4399[DOI: 10.3390/s19204399]

Ma K D, Zeng K and Wang Z. 2015. Perceptual quality assessment for multi-exposure image fusion. IEEE Transactions on Image Processing, 24(11): 3345-3356[DOI: 10.1109/tip.2015.2442920]

Ma S Z, Gupta S, Ulku A C, Bruschini C, Charbon E and Gupta M. 2020. Quanta burst photography. ACM Transactions on Graphics, 39(4): #79[DOI: 10.1145/3386569.3392470]

Mann S and Picard R W. 1995. On being "undigital" with digital cameras: extending dynamic range by combining differently exposed pictures//Proceedings of the IS and T's 48th Annual Conference. Washington, USA: Socuety for Imaging Science and Technology: 442-448

Manakov A, Restrepo J, Klehm O, Hegedus R, Eisemann E, Seidel H P and Ihrke I. 2013. A reconfigurable camera add-on for high dynamic range, multispectral, polarization, and light-field imaging. ACM Transactions on Graphics, 32(4): #47-1[DOI: https://doi.org/10.1145/2461912.2461937]

Marco J, Hernandez Q, Muñoz A, Dong Y, Jarabo A, Kim M H, Tong X and Gutierrez D. 2017. DeepToF: off-the-shelf real-time correction of multipath interference in time-of-flight imaging. ACM Transactions on Graphics, 36(6): #219[DOI: 10.1145/3130800.3130884]

Marnerides D, Bashford-Rogers T and Debattista K. 2020. Spectrally consistent UNet for high fidelity image transformations[EB/OL]. [2021-12-15].https://arxiv.org/pdf/2004.10696.pdfhttps://arxiv.org/pdf/2004.10696.pdf

Marnerides D, Bashford-Rogers T and Debattista K. 2021. Deep HDR hallucination for inverse tone mapping. Sensors, 21(12): #4032[DOI: 10.3390/s21124032]

Marnerides D, Bashford-Rogers T, Hatchett J and Debattista K. 2018. ExpandNet: a deep convolutional neural network for high dynamic range expansion from low dynamic range content. Computer Graphics Forum, 37(2): 37-49[DOI: 10.1111/cgf.13340]

Martel J N P, Müller L K, Carey S J, Dudek P and Wetzstein G. 2020. Neural sensors: learning pixel exposures for HDR imaging and video compressive sensing with programmable sensors. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(7): 1642-1653[DOI: 10.1109/TPAMI.2020.2986944]

Martel J N P and Wetzstein G. 2021. Computational imaging with vision sensors embedding in-pixel processing//2021 IEEE International Electron Devices Meeting (IEDM). San Francisco, USA: IEEE: #9720618[DOI: 10.1109/IEDM19574.2021.9720618http://dx.doi.org/10.1109/IEDM19574.2021.9720618]

Matsuda N, Cossairt O and Gupta M. 2015. MC3D: motion contrast 3D scanning//Proceedings of 2015 IEEE International Conference on Computational Photography. Houston, USA: IEEE: 1-10[DOI: 10.1109/ICCPHOT.2015.7168370http://dx.doi.org/10.1109/ICCPHOT.2015.7168370]

Mazhar M A and Riza N A. 2020.96 dB linear high dynamic range CAOS spectrometer demonstration. IEEE Photonics Technology Letters, 32(23): 1497-1500[DOI: 10.1109/LPT.2020.3038062]

McClung A, Samudrala S, Torfeh M, Mansouree M and Arbabi A. 2020. Snapshot spectral imaging with parallel metasystems. Science Advances, 6(38): #7646[DOI: 10.1126/sciadv.abc7646]

McElvain J S, Gish W C, Miller J R, Ward G J and Atkins R. 2021. Auto exposure of spatially-multiplexed-exposure high-dynamic-range image sensors. USA, 17/274, 161

McGuire M, Matusik W, Pfister H, Chen B, Hughes J F and Nayar S K. 2007. Optical splitting trees for high-precision monocular imaging. IEEE Computer Graphics and Applications, 27(2): 32-42[DOI: 10.1109/mcg.2007.45]

Meng J J, Cadusch J J and Crozier K B. 2019. Detector-only spectrometer based on structurally colored silicon nanowires and a reconstruction algorithm. Nano Letters, 20(1): 320-328[DOI: 10.1021/acs.nanolett.9b03862]

Mertens T, Kautz J and Van Reeth F. 2009. Exposure fusion: a simple and practical alternative to high dynamic range photography. Computer Graphics Forum, 28(1): 161-171[DOI: 10.1111/j.1467-8659.2008.01171.x]

Mertz C, Koppal S J, Sia S and Narasimhan S. 2012. A low-power structured light sensor for outdoor scene reconstruction and dominant material identification//Proceedings of 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. Providence, USA: IEEE: 15-22[DOI: 10.1109/CVPRW.2012.6239194http://dx.doi.org/10.1109/CVPRW.2012.6239194]

Metzler C A, Ikoma H, Peng Y Y and Wetzstein G. 2020. Deep optics for single-shot high-dynamic-range imaging//Proceedings of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, USA: IEEE: 1372-1382[DOI: 10.1109/CVPR42600.2020.00145http://dx.doi.org/10.1109/CVPR42600.2020.00145]

Mildenhall B, Barron J T, Chen J W, Sharlet D, Ng R and Carroll R. 2018. Burst denoising with kernel prediction networks//Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, USA: IEEE: 2502-2510[DOI: 10.1109/CVPR.2018.00265http://dx.doi.org/10.1109/CVPR.2018.00265]

Monakhova K, Tran V, Kuo G and Waller L. 2021. Untrained networks for compressive lensless photography. Optics Express, 29(13): 20913-20929[DOI: 10.1364/oe.424075]

Monakhova K, Yanny K, Aggarwal N and Waller L. 2020. Spectral DiffuserCam: lensless snapshot hyperspectral imaging with a spectral filter array. Optica, 7(10): 1298-1307[DOI: 10.1364/optica.397214]

Monakhova K, Yurtsever J, Kuo G, Antipa N, Yanny K and Waller L. 2019. Learned reconstructions for practical mask-based lensless imaging. Optics Express, 27(20): 28075-28090[DOI: 10.1364/oe.27.028075]

Montulet R, Briassouli A and Maastricht N. 2019. Deep learning for robust end-to-end tone mapping. In BMVC: (2): #4

Moreno D, Son K and Taubin G. 2015. Embedded phase shifting: robust phase shifting with embedded signals//Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition. Boston, USA: IEEE: 2301-2309[DOI: 10.1109/CVPR.2015.7298843http://dx.doi.org/10.1109/CVPR.2015.7298843]

Moriwaki K, Yoshihashi R, Kawakami R, You S D and Naemura T. 2018. Hybrid loss for learning single-image-based HDR reconstruction[EB/OL]. [2021-12-15].https://arxiv.org/pdf/1812.07134.pdfhttps://arxiv.org/pdf/1812.07134.pdf

Mu T K, Han F, Bao D H, Zhang C M and Liang R G. 2019. Compact snapshot optically replicating and remapping imaging spectrometer (ORRIS) using a focal plane continuous variable filter. Optics Letters, 44(5): 1281-1284[DOI: 10.1364/ol.44.001281]

Naik N, Kadambi A, Rhemann C, Izadi S, Raskar R and Kang S B. 2015. A light transport model for mitigating multipath interference in time-of-flight sensors//Proceedings of 2015 IEEE Conference on Computer Vision and Pattern Recognition. Boston, USA: IEEE: 73-81[DOI: 10.1109/CVPR.2015.7298602http://dx.doi.org/10.1109/CVPR.2015.7298602]

Narasimhan S G, Nayar S K, Sun B and Koppal S J. 2005. Structured light in scattering media//Proceedings of the 10th IEEE International Conference on Computer Vision. Beijing, China: IEEE: 420-427[DOI: 10.1109/ICCV.2005.232http://dx.doi.org/10.1109/ICCV.2005.232]

Nayar S K, Krishnan G, Grossberg M D and Raskar R. 2006. Fast separation of direct and global components of a scene using high frequency illumination. ACM Transactions on Graphics, 25(3): 935-944[DOI: 10.1145/1141911.1141977]

Nayar S K and Mitsunaga T. 2000. High dynamic range imaging: spatially varying pixel exposures//Proceedings of 2000 IEEE Conference on Computer Vision and Pattern Recognition. Hilton Head, USA: IEEE: 472-479[DOI: 10.1109/CVPR.2000.855857http://dx.doi.org/10.1109/CVPR.2000.855857]

Neri A, Carli M and Battisti F. 2015. A multi-resolution approach to depth field estimation in dense image arrays//Proceedings of 2015 IEEE International Conference on Image Processing. Quebec City, Canada: IEEE: 3358-3362[DOI: 10.1109/ICIP.2015.7351426http://dx.doi.org/10.1109/ICIP.2015.7351426]

Ng R, Levoy M, Brédif M, Duval G, Horowitz M and Hanrahan P. 2005. Light field photography with a hand-held plenoptic camera. Doctoral dissertation, Stanford University

Nie S J, Gu L, Zheng Y Q, Lam A, Ono N and Sato I. 2018. Deeply learned filter response functions for hyperspectral reconstruction//Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, USA: IEEE: 4767-4776[DOI: 10.1109/CVPR.2018.00501http://dx.doi.org/10.1109/CVPR.2018.00501]

Niu B, Qu X, Guan X and Zhang F. 2021. Fast HDR image generation method from a single snapshot image based on frequency division multiplexing technology. Optics Express, 29(17): 27562-27572[DOI: https://doi.org/10.1364/OE.434950]

Nousias S, Chadebecq F, Pichat J, Keane P, Ourselin S and Bergeles C. 2017. Corner-based geometric calibration of multi-focus plenoptic cameras//Proceedings of 2017 IEEE International Conference on Computer Vision. Venice, Italy: IEEE: 957-965[DOI: 10.1109/ICCV.2017.109http://dx.doi.org/10.1109/ICCV.2017.109]

O'brien S, Trumpf J, Ila V and Mahony R. 2018. Calibrating light-field cameras using plenoptic disc features//Proceedings of 2018 International Conference on 3D Vision. Verona, Italy: IEEE: 286-294[DOI: 10.1109/3DV.2018.00041http://dx.doi.org/10.1109/3DV.2018.00041]

Okawa T, Ooki S, Yamajo H, Kawada M, Tachi M, Goi K, Yamasaki T, Iwashita H, Nakamizo M, Ogasahara T, Kitano Y and Tatani K. 2019. A 1/2inch 48M all PDAF CMOS image sensor using 0.8 μmquad bayer coding 2×2OCL with 1.0lux minimum AF illuminance level//Proceedings of 2019 IEEE International Electron Devices Meeting. San Francisco, USA: IEEE: #16[DOI: 10.1109/IEDM19573.2019.8993499http://dx.doi.org/10.1109/IEDM19573.2019.8993499]

O'Toole M, Achar S, Narasimhan S G and Kutulakos K N. 2015. Homogeneous codes for energy-efficient illumination and imaging. ACM Transactions on Graphics, 34(4): #35[DOI: 10.1145/2766897]

O'Toole M, Mather J and Kutulakos K N. 2014.3D shape and indirect appearance by structured light transport//Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition. Columbus, USA: IEEE: 3246-3253[DOI: 10.1109/CVPR.2014.421http://dx.doi.org/10.1109/CVPR.2014.421]

Padilla D D, Davidson P A Jr, Carlson J J and Novick D K. 2005. Advancements in Sensing and Perception Using Structured Lighting Techniques: an LDRD Final Report. SAND2005-5935, Sandia National Laboratories

Pan J S, Gu Y, Li Y H, Sun J N, Zhang Q D and Su D T. 2017. Large dynamic range science intensified camera with single photon sensitivity and high spatiotemporal resolution. Infrared Technology, 39(9): 864-870

潘京生, 顾燕, 李燕红, 孙建宁, 张勤东, 苏德坦. 2017. 单光子灵敏和高时空分辨的大动态范围科学增强相机. 红外技术, 39(9): 864-870

Panetta K, Kezebou L, Oludare V, Agaian S and Xia Z H. 2021. TMO-Net: a parameter-free tone mapping operator using generative adversarial network, and performance benchmarking on large scale HDR dataset. IEEE Access, 9: 39500-39517[DOI: 10.1109/ACCESS.2021.3064295]

Patel V A, Shah P and Raman S. 2017. A generative adversarial network for tone mapping HDR images//Proceedings of the 6th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics. Mandi, India: Springer: 220-231[10.1007/978-981-13-0020-2_20http://dx.doi.org/10.1007/978-981-13-0020-2_20]

Peng Y F, Sun Q L, Dun X, Wetzstein G, Heidrich W and Heide F. 2019. Learned large field-of-view imaging with thin-plate optics. ACM Transactions on Graphics, 38(6): #219[DOI: 10.1145/3355089.3356526]

Petschnigg G, Szeliski R, Agrawala M, Cohen M, Hoppe H and Toyama K. 2004. Digital photography with flash and no-flash image pairs. ACM Transactions on Graphics, 23(3): 664-672[DOI: 10.1145/1015706.1015777]

Piao Y J, Xu W, Wang S J, Tao S P. 2014. Fast multi-exposure image fusion for HDR video, 29(6): 1032-1041

朴永杰, 徐伟, 王绍举, 陶淑苹, 2014. 高动态范围视频的多曝光图像序列快速融合. 液晶与显示, 29(6): 1032-1041[DOI: 10.3788/YJYXS20142906.1032http://dx.doi.org/10.3788/YJYXS20142906.1032]

Plötz T and Roth S. 2017. Benchmarking denoising algorithms with real photographs//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, USA: IEEE: 2750-2759[DOI: 10.1109/CVPR.2017.294http://dx.doi.org/10.1109/CVPR.2017.294]

Qian Y L, Kämäräinen J K, Nikkanen J and Matas J. 2019. On findinggray pixels//Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Long Beach, USA: IEEE: 8054-8062[DOI: 10.1109/CVPR.2019.00825http://dx.doi.org/10.1109/CVPR.2019.00825]

Rana A, Singh P, Valenzise G, Dufaux F, Komodakis N and Smolic A. 2019. Deep tone mapping operator for high dynamic range images. IEEE Transactions on Image Processing, 29: 1285-1298[DOI: 10.1109/tip.2019.2936649]

Rego J D, Kulkarni K and Jayasuriya S. 2021. Robust lensless image reconstruction via PSF estimation//Proceedings of 2021 IEEE Winter Conference on Applications of Computer Vision. Waikoloa, USA: IEEE: 403-412[DOI: 10.1109/WACV48630.2021.00045http://dx.doi.org/10.1109/WACV48630.2021.00045]

Reinhard E, Stark M, Shirley P and Ferwerda J. 2002. Photographic tone reproduction for digital images. ACM Transactions on Graphics, 21(3): 267-276[DOI: 10.1145/566654.566575]

Reinhard E, Heidrich W, Debevec P, Pattanaik S, Ward G and Myszkowski K. 2010. High dynamic range imaging: acquisition, display, and image-based lighting. Morgan Kaufmann

Rossi M and Frossard P. 2017. Graph-based light field super-resolution//Proceedings of the 19th International Workshop on Multimedia Signal Processing. Luton, UK: IEEE: 1-6[DOI: 10.1109/MMSP.2017.8122224http://dx.doi.org/10.1109/MMSP.2017.8122224]

Rovid A, Varkonyi-Koczy A R, Hashimoto T and Shimodaira Y. 2007. Gradient based synthesized maximum dense high dynamic range image//Proceedings of the 11th International Conference on Intelligent Engineering Systems. Budapest, Hungary: IEEE: 121-125[DOI: 10.1109/INES.2007.4283684http://dx.doi.org/10.1109/INES.2007.4283684]

Sahoo S K, Tang D L and Dang C. 2017. Single-shot multispectral imaging with a monochromatic camera. Optica, 4(10): 1209-1213[DOI: 10.1364/OPTICA.4.001209]

Santos M S, Ren T I and Kalantari N K. 2020. Single image HDR reconstruction using a CNN with masked features and perceptual loss[EB/OL]. [2022-01-15].https://arxiv.org/pdf/2005.07335.pdfhttps://arxiv.org/pdf/2005.07335.pdf

Satat G, Tancik M and Raskar R. 2018. Towards photography through realistic fog//Proceedings of 2018 IEEE International Conference on Computational Photography. Pittsburgh, USA: IEEE: 1-10[DOI: 10.1109/ICCPHOT.2018.8368463http://dx.doi.org/10.1109/ICCPHOT.2018.8368463]

Schlick C. 1995. Quantization techniques for visualization of high dynamic range pictures//Sakas G, Müller S and Shirley P, eds. Photorealistic Rendering Techniques. Berlin, Heidelberg: Springer: 7-20[DOI: 10.1007/978-3-642-87825-1_2http://dx.doi.org/10.1007/978-3-642-87825-1_2]

Schoenemann B, Pärnaste H and Clarkson E N K. 2017. Structure and function of a compound eye, more than half a billion years old. Proceedings of the National Academy of Sciences of the United States of America, 114(51): 13489-13494[DOI: 10.1073/pnas.1716824114]

Sen P, Kalantari N K, Yaesoubi M, Darabi S, Goldman D B and Shechtman E. 2012. Robust patch-based hdr reconstruction of dynamic scenes. ACM Transactions on Graphics, 31(6): #203[DOI: 10.1145/2366145.2366222]

Seredkin A, Shestakov M and Mikhail T. 2019. An industrial light field camera applied for 3D velocity measurements in flow past confined cylinder//Proceedings of EPJ Web of Conferences Online: EDP Sciences: #56[DOI: 10.1051/epjconf/201919600056http://dx.doi.org/10.1051/epjconf/201919600056]

Seredkin A V, Shestakov M V and Tokarev M P. 2016, October. An industrial light-field camera applied for 3D velocity measurements in a slot jet//Proceedings of AIP Conference Proceedings. Online: AIP Publishing LLC: #030025[DOI: 10.1063/1.4963967http://dx.doi.org/10.1063/1.4963967]

Seshadrinathan K and Nestares O. 2017. High dynamic range imaging using camera arrays//Proceedings of 2017 IEEE International Conference on Image Processing. Beijing, China: IEEE: 725-729[DOI: 10.1109/ICIP.2017.8296376http://dx.doi.org/10.1109/ICIP.2017.8296376]

Sharif S M A, Naqvi R A, Biswas M and Kim S. 2021. A two-stage deep network for high dynamic rangeimage reconstruction//Proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, USA: IEEE: 550-559[DOI: 10.1109/CVPRW53098.2021.00067http://dx.doi.org/10.1109/CVPRW53098.2021.00067]

Shen R, Cheng I and Basu A. 2013. QoE-based multi-exposure fusion in hierarchical multivariate Gaussian CRF. IEEE Transactions on Image Processing, 22(6): 2469-2478[DOI: 10.1109/tip.2012.2236346]

Shen X Y, Hertzmann A, Jia J Y, Paris S, Price B, Shechtman E and Sachs I. 2016. Automatic portrait segmentation for image stylization. Computer Graphics Forum, 35(2): 93-102[DOI: 10.1111/cgf.12814]

Shen X Y, Tao X, Gao H Y, Zhou C and Jia J Y. 2016b. Deep automatic portrait matting//Proceedings of the 14th European Conference on Computer Vision. Amsterdam, the Netherlands: Springer: 92-107[DOI: 10.1007/978-3-319-46448-0_6http://dx.doi.org/10.1007/978-3-319-46448-0_6]

Shi S X, Ding J F, Atkinson C, Soria J and New T H. 2018b. A detailed comparison of single-camera light-field PIV and tomographic PIV. Experiments in Fluids, 59(3): #46[DOI: 10.1007/s00348-018-2500-9]

Shi S X, Ding J F and New T H. 2016a. Dense ray tracing based reconstruction algorithm for light field PIV and comparative study with Tomo-PIV//The 18th International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics. Lisbon, Portugal: [s. n.]

Shi S X, Ding J F, New T H, Liu Y and Zhang H M. 2019. Volumetric calibration enhancements for single-camera light-field PIV. Experiments in Fluids, 60(1): #21[DOI: 10.1007/s00348-018-2670-5]

Shi S X, Ding J F, New T H and Soria J. 2017. Light-field camera-based 3D volumetric particle image velocimetry with dense ray tracing reconstruction technique. Experiments in Fluids, 58(7): #78[DOI: 10.1007/s00348-017-2365-3]

Shi S X, Wang J H, Ding J F, Zhao Z and New T H. 2016b. Parametric study on light field volumetric particle image velocimetry. Flow Measurement and Instrumentation, 49: 70-88[DOI: 10.1016/j.flowmeasinst.2016.05.006]

Shi S X, Xu S M, Zhao Z, Niu X F and Quinn M K. 2018a. 3D surface pressure measurement with single light-field camera and pressure-sensitive paint. Experiments in Fluids, 59(5): #79[DOI: 10.1007/s00348-018-2534-z]

Shi W, Loy C C and Tang X O. 2016c. Deep specialized network for illuminant estimation//Proceedings of the 14th European Conference on Computer Vision. Amsterdam, the Netherlands: Springer: 371-387[DOI: 10.1007/978-3-319-46493-0_23http://dx.doi.org/10.1007/978-3-319-46493-0_23]

Shin C, Jeon H G, Yoon Y, Kweon I S and Kim S J. 2018c. EPINET: a fully-convolutional neural network using epipolar geometry for depth from light field images//Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, USA: IEEE: 4748-4757[DOI: 10.1109/CVPR.2018.00499http://dx.doi.org/10.1109/CVPR.2018.00499]

Shogenji R, Kitamura Y, Yamada K, Miyatake S and Tanida J. 2004. Multispectral imaging using compact compound optics. Optics Express, 12(8): 1643-1655[DOI: 10.1364/opex.12.001643]

Sitzmann V, Diamond S, Peng Y, Dun X, Boyd S, Heidrich W, Heide F and Wetzstein, G. 2018. End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging. ACM Transactions on Graphics (TOG), 37(4): 1-13[DOI: https://doi.org/10.1145/3197517.3201333]

Song H Y, Ma Y G, Han Y B, Shen W D, Zhang W Y, Li Y H, Liu X, Peng Y F and Hao X. 2021. Deep-learned broadband encoding stochastic filters for computational spectroscopic instruments. Advanced Theory and Simulations, 4(3): #2000299[DOI: 10.1002/adts.202000299]

Song M L, Tao D C, Chen C, Bu J J, Luo J B and Zhang C Q. 2012. Probabilistic exposure fusion. IEEE Transactions on Image Processing, 21(1): 341-357[DOI: 10.1109/tip.2011.2157514]

Song Z X, Wu Q, Wang X and Wang Q. 2021.3D reconstruction with circular light field by using 3D hough transformation. Journal of Northwestern Polytechnical University, 39(1): 135-140

宋征玺, 吴淇, 王雪, 王庆. 2021. 基于三维霍夫变换的环形光场三维重建. 西北工业大学学报, 39(1): 135-140[DOI: 10.3969/j.issn.1000-2758.2021.01.017]

Stiebel T and Merhof D. 2020. Deep optimal filter responses for multi-spectral imaging//Proceedings of the London Imaging Meeting 2020: Future Colour Imaging. [s. l.]: Society for Imaging Science and Technology: 134-138[DOI: 10.2352/issn.2694-118X.2020.LIM-14http://dx.doi.org/10.2352/issn.2694-118X.2020.LIM-14]

Strecke M, Alperovich A and Goldluecke B. 2017. Accurate depth and normal maps from occlusion-aware focal stack symmetry//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Honolulu, USA: IEEE: 2529-2537[DOI: 10.1109/CVPR.2017.271http://dx.doi.org/10.1109/CVPR.2017.271]

Suda T, Tanaka M, Monno Y and Okutomi M. 2021. Deep snapshot HDR imaging using multi-exposure color filter array//Proceedings of the 15th Asian Conference on Computer Vision. Kyoto, Japan: Springer: 353-370[DOI: 10.1007/978-3-030-69532-3_22http://dx.doi.org/10.1007/978-3-030-69532-3_22]

Sun B, Yan J C, Zhou X and Zheng Y Q. 2021a. Tuning IR-cut filter for illumination-aware spectral reconstruction from RGB//Proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, USA: IEEE: 84-93[DOI: 10.1109/CVPR46437.2021.00015http://dx.doi.org/10.1109/CVPR46437.2021.00015]

Sun J, Xu C L, Zhang B, Hossain M, Wang S M, Qi H and Tan H P. 2016. Three-dimensional temperature field measurement of flame using a single light field camera. Optics Express, 24(2): 1118-1132[DOI: 10.1364/OE.24.001118]

Sun Q. 2021c. End-to-end Optics Design for Computational Cameras//KAUST Research Repository[DOI: https://doi.org/10.25781/KAUST-23EL6https://doi.org/10.25781/KAUST-23EL6]

Sun Q L, Dun X, Peng Y F and Heidrich W. 2018. Depth and transient imaging with compressive SPAD array cameras//Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, USA: IEEE: 273-282[DOI: 10.1109/CVPR.2018.00036http://dx.doi.org/10.1109/CVPR.2018.00036]

Sun Q L, Dun X, Peng Y Fand Heidrich W. 2019. Optical coding of SPAD array and its application in compressive depth and transient imaging//Proceedings of SPIE 11187, Optoelectronic Imaging and Multimedia Technology VI. [s. l.]: SPIE: #111870[DOI: 10.1117/12.2538783http://dx.doi.org/10.1117/12.2538783]

Sun Q L, Tseng E, Fu Q, Heidrich W and Heide F. 2020a. Learning rank-1 diffractive optics for single-shot high dynamic range imaging//Proceedings of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, USA: IEEE: 1383-1393[DOI: 10.1109/CVPR42600.2020.00146http://dx.doi.org/10.1109/CVPR42600.2020.00146]

Sun Q L, Wang C L, Fu Q, Dun X and Heidrich W. 2021b. End-to-end complex lens design with differentiate ray tracing. ACM Transactions on Graphics, 40(4): #71[DOI: 10.1145/3450626.3459674]

Sun Q L, Zhang J, Dun X, Ghanem B, Peng Y F and Heidrich W. 2020b. End-to-end learned, optically coded super-resolution SPAD camera. ACM Transactions on Graphics, 39(2): #9[DOI: 10.1145/3372261]

Sun W, Han C S, Jin X F, Lyu H Y and Liu H Y. 2018. HDR imaging method of overcoming full well limitation for push-broom remote sensing cameras. Optics and Precision Engineering, 26 (4): 944-950

孙武, 韩诚山, 晋学飞, 吕恒毅, 刘海龙. 2018. 推扫式遥感相机超满阱大动态范围成像. 光学精密工程, 26(4): 944-950[DOI: 10.3788/OPE.20182604.0944]

Tajima K, Shimano T, Nakamura Y, Sao M Y and Hoshizawa T. 2017. Lensless light-field imaging with multi-phased fresnel zone aperture//Proceedings of 2017 IEEE International Conference on Computational Photography. Stanford, USA: IEEE: 1-7[DOI: 10.1109/ICCPHOT.2017.7951485http://dx.doi.org/10.1109/ICCPHOT.2017.7951485]

Tan H L, Xiao H X, Lai S M, Liu Y and Zhang M J. 2019. Deep residual learning for burst denoising//Proceedings of the 4th International Conference on Image, Vision and Computing. Xiamen, China: IEEE: 156-161[DOI: 10.1109/ICIVC47709.2019.8981310http://dx.doi.org/10.1109/ICIVC47709.2019.8981310]

Tanida J, Kumagai T, Yamada K, Miyatake S, Ishida K, Morimoto T, Kondou N, Miyazaki D and Ichioka Y. 2001. Thin observation module by bound optics (TOMBO): concept and experimental verification. Applied Optics, 40(11): 1806-1813[DOI: 10.1364/ao.40.001806]

Tao M W, Hadap S, Malik J and Ramamoorthi R. 2013. Depth from combining defocus and correspondence using light-field cameras//Proceedings of 2013 IEEE International Conference on Computer Vision. Sydney, Australia: IEEE: 673-680[DOI: 10.1109/ICCV.2013.89http://dx.doi.org/10.1109/ICCV.2013.89]

Thomason C M, Fahringer T W, Johnson K C and Thurow B S. 2014. Modeling the effect of refraction at a flat interface on plenoptic particle reconstruction//Proceedings of the 30th AIAA Aerodynamic Measurement Technology and Ground Testing Conference. Atlanta, USA: AIAA: #2662[DOI: 10.2514/6.2014-2662http://dx.doi.org/10.2514/6.2014-2662]

Ting J, Wu X S, Hu K K and Zhang H. 2021. Deep snapshot HDR reconstruction based on the polarization camera//Proceedings of 2021 IEEE International Conference on Image Processing. Anchorage, USA: IEEE: #9506314[DOI: 10.1109/ICIP42928.2021.9506314http://dx.doi.org/10.1109/ICIP42928.2021.9506314]

Tocci M D, Kiser C, Tocci N and Sen P. 2011. A versatile HDR video production system. ACM Transactions on Graphics, 30(4): #41[DOI: 10.1145/2010324.1964936]

Tseng E, Mosleh A, Mannan F, St-Arnaud K, Sharma A, Peng Y F, Braun A, Nowrouzezahrai D, Lalonde J F and Heide F. 2021. Differentiable compound optics and processing pipeline optimization for end-to-end camera design. ACM Transactions on Graphics, 40(2): #18[DOI: 10.1145/3446791]

Tumblin J, Hodgins J K and Guenter B K. 1999. Two methods for display of high contrast images. ACM Transactions on Graphics, 18(1): 56-94[DOI: 10.1145/300776.300783]

Tumblin J and Turk G. 1999. LCIS: a boundary hierarchy for detail-preserving contrast reduction//Proceedings of the 26th Annual Conference on Computer Graphics and Interactive Techniques. New York, USA: ACM: 83-90[DOI: 10.1145/311535.311544http://dx.doi.org/10.1145/311535.311544]

Vaish V, Wilburn B, Joshi N and Levoy M. 2004. Using plane + parallax for calibrating dense camera arrays//Proceedings of 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition(CVPR 2004). Washington, USA: IEEE: #1315006[DOI: 10.1109/CVPR.2004.1315006http://dx.doi.org/10.1109/CVPR.2004.1315006]

van de Weijer J, Gevers T and Gijsenij A. 2007. Edge-based color constancy. IEEE Transactions on Image Processing, 16(9): 2207-2214[DOI: 10.1109/TIP.2007.901808]

Varkonyi-Koczy A R, Rovid A and Hashimoto T. 2008. Gradient-based synthesized multiple exposure time color HDR image. IEEE Transactions on Instrumentation and Measurement, 57(8): 1779-1785[DOI: 10.1109/tim.2008.925715]

Vinker Y, Huberman-Spiegelglas I and Fattal R. 2021. Unpaired learning for high dynamic range image tone mapping//Proceedings of 2021 IEEE/CVF International Conference on Computer Vision. Montreal, Canada: IEEE: 14637-14646[DOI: 10.1109/ICCV48922.2021.01439http://dx.doi.org/10.1109/ICCV48922.2021.01439]

Wadhwa N, Garg R, Jacobs D E, Feldman B E, Kanazawa N, Carroll R, Movshovitz-Attias Y, Barron J T, Pritch Y and Levoy M. 2018. Synthetic depth-of-field with a single-camera mobile phone. ACM Transactions on Graphics, 37(4): #64[DOI: 10.1145/3197517.3201329]

Wagadarikar A, John R, Willett R and Brady D. 2008. Single disperser design for coded aperture snapshot spectral imaging. Applied Optics, 47(10): 44-51[DOI: 10.1364/AO.47.000B44]

Wang F and Yan L M. 2019. Tone mapping algorithm combining luminance partitioning and guiding filtering. Chinese Journal of Liquid Crystals and Displays, 34(10): 1000-1005

王峰, 严利民. 2019. 一种亮度分区和导向滤波相结合的色调映射算法. 液晶与显示, 34(10): 1000-1005[DOI: 10.3788/YJYXS20193410.1000]

Wang H M, Qiao H, Lin J Y, Wu R H, Liu Y B and Dai Q H. 2021. Model study of transient imaging with multi-frequency time-of-flight sensors. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(10): 3523-3539[DOI: 10.1109/tpami.2020.2981574]

Wang J, Sankaranarayanan A C, Gupta M and Narasimhan S G. 2016b. Dual structured light 3D using a 1D sensor//Proceedings of the 14th European Conference on Computer Vision. Amsterdam, the Netherlands: Springer: 383-398[DOI: 10.1007/978-3-319-46466-4_23http://dx.doi.org/10.1007/978-3-319-46466-4_23]

Wang J, Xue T F, Barron J T and Chen J W. 2019a. Stereoscopic dark flash for low-light photography//Proceedings of 2019 IEEE International Conference on Computational Photography. Tokyo, Japan: IEEE: 1-10[DOI: 10.1109/ICCPHOT.2019.8747337http://dx.doi.org/10.1109/ICCPHOT.2019.8747337]

Wang L Z, Xiong Z W, Huang H, Shi G M, Wu F and Zeng W J. 2019b. High-speed hyperspectral video acquisition by combining nyquist and compressive sampling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(4): 857-870[DOI: 10.1109/tpami.2018.2817496]

Wang L Z, Xiong Z W, Shi G M, Wu F and Zeng W J. 2017. Adaptive nonlocal sparse representation for dual-camera compressive hyperspectral imaging. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(10): 2104-2111[DOI: 10.1109/tpami.2016.2621050]

Wang T C, Efros A A and Ramamoorthi R. 2016a. Depth estimation with occlusion modeling using light-field cameras. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(11): 2170-2181[DOI: 10.1109/TPAMI.2016.2515615]

Wang Y J, Chen H Z, Liu Y Y, Sun H H, Yang Z Y and He S W. 2014. Application of DMD to high dynamic scene image detection system. Optics and Precision Engineering, 22(9): 2508-2517

王延杰, 陈怀章, 刘艳滢, 孙宏海, 杨振永, 何舒文. 2014. 数字微镜器件在高动态辐射场景成像探测系统中的应用. 光学精密工程, 22(9): 2508-2517[DOI: 10.3788/OPE.20142209.2508]

Wang Y L, Liu F, Zhang K B, Hou G Q, Sun Z N and Tan T N. 2018. LFNet: a novel bidirectional recurrent convolutional neural network for light-field image super-resolution. IEEE Transactions on Image Processing, 27(9): 4274-4286[DOI: 10.1109/TIP.2018.2834819]

Wang Z, Yi S, Chen A, Zhou M, Luk T S, James A, Nogan J, Ross, W, Joe G, Shahsafi A, Wang K X, Kats M A and Yu Z F. 2019c. Single-shot on-chip spectral sensors based on photonic crystal slabs. Nature Communications, 10(1): #1020[DOI: 10.1038/s41467-019-08994-5]

Wanner S and Goldluecke B. 2014. Variational light field analysis for disparity estimation and super-resolution. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(3): 606-619[DOI: 10.1109/TPAMI.2013.147]

Wei K X, Fu Y, Yang J L and Huang H. 2020. A physics-based noise formation model for extreme low-light raw denoising//Proceedings of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, USA: IEEE: 2755-2764[DOI: 10.1109/CVPR42600.2020.00283http://dx.doi.org/10.1109/CVPR42600.2020.00283]

Wei M, Sarhangnejad N, Xia Z F, Gusev N, Katic N, Genov R and Kutulakos K N. 2018. Coded two-bucket cameras for computer vision//Proceedings of the 15th European Conference on Computer Vision. Munich, Germany: Springer: 55-73[DOI: 10.1007/978-3-030-01219-9_4http://dx.doi.org/10.1007/978-3-030-01219-9_4]

Wilburn B, Joshi N, Vaish V, Talvala E V, Antunez E, Barth A, Adams A, Horowitz M and Levoy M. 2005. High performance imaging using large camera arrays. ACM Transactions on Graphics, 24(3): 765-776[DOI: 10.1145/1073204.1073259]

Williams C, Gordon G S D, Wilkinson T D and Bohndiek S E. 2019. Grayscale-to-color: scalable fabrication of custom multispectral filter arrays. ACS Photonics, 6(12): 3132-3141[DOI: 10.1021/acsphotonics.9b01196]

Williem W and Park I K. 2016. Robust light field depth estimation for noisy scene with occlusion//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, USA: IEEE: 4396-4404[DOI: 10.1109/CVPR.2016.476http://dx.doi.org/10.1109/CVPR.2016.476]

Wronski B, Garcia-Dorado I, Ernst M, Kelly D, Krainin M, Liang C K, Levoy M and Milanfar P. 2019. Handheld multi-frame super-resolution. ACM Transactions on Graphics, 38(4): #28[DOI: 10.1145/3306346.3323024]

Wu G C, Liu Y B, Fang L, Dai Q H and Chai T Y. 2019a. Light field reconstruction using convolutional network on EPI and extended applications. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(7): 1681-1694[DOI: 10.1109/TPAMI.2018.2845393]

Wu G C, Masia B, Jarabo A, Zhang Y C, Wang L Y, Dai Q H, Chai T Y and Liu Y B. 2017b. Light field image processing: an overview. IEEE Journal of Selected Topics in Signal Processing, 11(7): 926-954[DOI: 10.1109/JSTSP.2017.2747126]

Wu J C, Zhang H, Zhang W H, Jin G F, Cao L C and Barbastathis G. 2020a. Single-shot lensless imaging with fresnel zone aperture and incoherent illumination. Light: Science and Applications, 9(1): #53[DOI: 10.1038/s41377-020-0289-9]

Wu J M, Lu Z, Jiang D, Guo Y D, Qiao H, Zhang Y, Zhu T Y, Cai Y Y, Zhang X, Zhanghao K, Xie H, Yan T, Zhang G X, Li X X, Jiang Z, Lin X, Fang L, Zhou B, Xi P, Fan J T, Yu L and Dai Q H. 2021. Iterative tomography with digital adaptive optics permits hour-long intravital observation of 3D subcellular dynamics at millisecond scale. Cell, 184(12): 3318-3332[DOI: 10.1016/j.cell.2021.04.029]

Wu R. 2020. Research on Multi-Exposure HDR Imaging Algorithm Based on Convolutional Neural Network. Chengdu: University of Electronic Science and Technology

吴蕊. 2020. 基于卷积神经网络的多曝光HDR成像算法研究. 成都: 电子科技大学

Wu X M, Fang J Y, Xu H S and Wang Z H. 2017a. High dynamic range image reconstruction in device-independent color space based on camera colorimetric characterization. Optik, 140: 776-785[DOI: 10.1016/j.ijleo.2017.05.016]

Wu X S, Zhang H, Hu X P, Shakeri M, Fan C and Ting J. 2020b. HDR reconstruction based on the polarization camera. IEEE Robotics and Automation Letters, 5(4): 5113-5119[DOI: 10.1109/LRA.2020.3005379]

Wu Y C, Boominathan V, Chen H J, Sankaranarayanan A and Veeraraghavan A. 2019b. PhaseCam3D—learning phase masks for passive single view depth estimation//Proceedings of 2019 IEEE International Conference on Computational Photography. Tokyo, Japan: IEEE: 1-12[DOI: 10.1109/ICCPHOT.2019.8747330http://dx.doi.org/10.1109/ICCPHOT.2019.8747330]

Xia Z H, Gharbi M, Perazzi F, Sunkavalli K and Chakrabarti A. 2021. Deep denoising of flash and no-flash pairs for photography in low-light environments//Proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, USA: IEEE: 2063-2072[DOI: 10.1109/CVPR46437.2021.00210http://dx.doi.org/10.1109/CVPR46437.2021.00210]

Xia Z H, Perazzi F, Gharbi M, Sunkavalli K and Chakrabarti A. 2020. Basis prediction networks for effective burst denoising with large kernels//Proceedings of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, USA: IEEE: 11841-11850[DOI: 10.1109/CVPR42600.2020.01186http://dx.doi.org/10.1109/CVPR42600.2020.01186]

Xiong J H, Wang J, Heidrich W and Nayar S. 2021. Seeing in extra darkness using a deep-red flash//Proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, USA: IEEE: 9995-10004[DOI: 10.1109/CVPR46437.2021.00987http://dx.doi.org/10.1109/CVPR46437.2021.00987]

Xu M and Hua H. 2017. High dynamic range head mounted display based on dual-layer spatial modulation. Optics Express, 25(19): 23320-23333[DOI: https://doi.org/10.1364/OE.25.023320]

Xu Y and Aliaga D G. 2007. Robust pixel classification for 3D modeling with structured light//Proceedings of Graphics Interface 2007. Montreal, Canada: ACM: 233-240[DOI: 10.1145/1268517.1268556http://dx.doi.org/10.1145/1268517.1268556]

Xu Y and Aliaga D G. 2009. An adaptive correspondence algorithm for modeling scenes with strong interreflections. IEEE Transactions on Visualization and Computer Graphics, 15(3): 465-480[DOI: 10.1109/tvcg.2008.97]

Yamashita T and Fujita Y. 2017. HDR video capturing system with four image sensors. ITE Transactions on Media Technology and Applications, 5(4): 141-146[DOI: 10.3169/mta.5.141]

Yan Q, Shen X Y, Xu L, Zhuo S J, Zhang X P, Shen L and Jia J Y. 2013. Cross-field joint image restoration via scale map//Proceedings of 2013 IEEE International Conference on Computer Vision. Sydney, Australia: IEEE: 1537-1544[DOI: 10.1109/ICCV.2013.194http://dx.doi.org/10.1109/ICCV.2013.194]

Yang Z D, Wang P, Li X H and Sun C K. 2014.3D laser scanner system using high dynamic range imaging. Optics and Lasers in Engineering, 54: 31-41[DOI: 10.1016/j.optlaseng.2013.09.003]

Yang Z Y, Albrow-Owen T, Cui H X, Alexander-Webber J, Gu F X, Wang X M,Wu T C, Zhuge M H, Williams C, Wang P, Zayats A V, Cai W W, Dai L, Hofmann S, Overend M, Tong L M, Yang Q, Sun Z P and Hasan T. 2019. Single-nanowire spectrometers. Science, 365(6457): 1017-1020[DOI: 10.1126/science.aax8814]

Ye N J. 2020. Research on HDR Imaging Method Based on Deep Learning. Chengdu: University of Electronic Science and Technology

叶年进. 2020. 基于深度学习的HDR成像方法研究. 成都: 电子科技大学

Ye N J, Huo Y Q, Liu S C and Li H L. 2021. Single exposure high dynamic range image reconstruction based on deep dual-branch network. IEEE Access, 9: 9610-9624[DOI: 10.1109/ACCESS.2021.3049480]

Yee Y H and Pattanaik S. 2003. Segmentation and adaptive assimilation for detail-preserving display of high-dynamic range images. The Visual Computer, 19(7): 457-466[DOI: 10.1007/s00371-003-0211-5]

Yoon Y, Jeon H G, Yoo D, Lee J Y and Kweon I S. 2015. Learning a deep convolutional network for light-field image super-resolution//Proceedings of 2015 IEEE International Conference on Computer Vision Workshops. Santiago, Chile: IEEE: 57-65[DOI: 10.1109/ICCVW.2015.17http://dx.doi.org/10.1109/ICCVW.2015.17]

Yu N F and Capasso F. 2014. Flat optics with designer metasurfaces. Nature Materials, 13(2): 139-150[DOI: 10.1038/nmat3839]

Zarghami M, Gasparini L, Perenzoni M and Pancheri L. 2019. High dynamic range imaging with TDC-Based CMOS SPAD arrays. Instruments, 3(3): #38[DOI: 10.3390/instruments3030038]

Zhang D H and Huo Y Q. 2018. High dynamic range image generation or dynamic scenes. Journal of Computer-Aided Design and Computer Graphics, 30(9): 1625-1636

张登辉, 霍永青. 2018. 动态场景的高动态范围图像生成. 计算机辅助设计与图形学学报, 30(9): 1625-1636[DOI: 10.3724/SP.J.1089.2018.16895]

Zhang J S and Lalonde J F. 2017. Learning high dynamic range from outdoor panoramas//Proceedings of 2017 IEEE International Conference on Computer Vision. Venice, Italy: IEEE: 4529-4538[DOI: 10.1109/ICCV.2017.484http://dx.doi.org/10.1109/ICCV.2017.484]

Zhang N, Wang C, Zhao Y and Wang R G. 2019a. Deep tone mapping network in HSV color space//Proceedings of 2019 IEEE Visual Communications and Image Processing. Sydney, Australia: IEEE: 1-4[DOI: 10.1109/VCIP47243.2019.8965992http://dx.doi.org/10.1109/VCIP47243.2019.8965992]

Zhang Q, Li H D, Wang X and Wang Q. 2021a. 3D scene reconstruction with an un-calibrated light field camera. International Journal of Computer Vision, 129(11): 3006-3026[DOI: 10.1007/s11263-021-01516-1]

Zhang Q, Ling J B, Wang Q and Yu J Y. 2019b. Ray-space projection model for light field camera//Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Long Beach, USA: IEEE: 10113-10121[DOI: 10.1109/CVPR.2019.01036http://dx.doi.org/10.1109/CVPR.2019.01036]

Zhang Q and Wang Q. 2018. Common self-polar triangle of concentric conics for light field camera calibration//Proceedings of the 14th Asian Conference on Computer Vision. Perth, Australia: Springer: 18-33[DOI: 10.1007/978-3-030-20876-9_2http://dx.doi.org/10.1007/978-3-030-20876-9_2]

Zhang Q and Wang Q. 2021. Common self-polar triangle of separate circles for light field camera calibration. Journal of Northwestern Polytechnical University, 39(3): 521-528

张琦, 王庆. 2021. 基于离心圆共自配极三角形的光场相机标定. 西北工业大学学报, 39(3): 521-528[DOI: 10.3969/j.issn.1000-2758.2021.03.008]

Zhang Q, Zhang C P, Ling J B, Wang Q and Yu J Y. 2019c. A generic multi-projection-center model and calibration method for light field cameras. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41(11): 2539-2552[DOI: 10.1109/TPAMI.2018.2864617]

Zhang S, Lin Y F and Sheng H. 2019d. Residual networks for light field image super-resolution//Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Long Beach, USA: IEEE: 11038-11047[DOI: 10.1109/CVPR.2019.01130http://dx.doi.org/10.1109/CVPR.2019.01130]

Zhang S, Sheng H, Li C, Zhang J and Xiong Z. 2016. Robust depth estimation for light field via spinning parallelogram operator. Computer Vision and Image Understanding, 145: 148-159[DOI: 10.1016/j.cviu.2015.12.007]

Zhang S F, Ding W X, Han Z X, Liu M Y and Guo Z P. 2018. A generating method of high dynamic range images using principal component analysis and gradient pyramid. Journal of Xi'an Jiaotong University, 52(4): 150-157

张淑芳, 丁文鑫, 韩泽欣, 刘孟娅, 郭志鹏. 2018. 采用主成分分析与梯度金字塔的高动态范围图像生成方法. 西安交通大学学报, 52(4): 150-157[DOI: 10.7652/xjtuxb201804022]

Zhang W Y, SongH Y, He X, Huang L Q, Zhang X Y, Zheng J Y, Shen W D, Hao X and Liu X. 2021b. Deeply learned broadband encoding stochastic hyperspectral imaging. Light: Science and Applications, 10(1): #108[DOI: 10.1038/s41377-021-00545-2]

Zhang Y, Lau D and Wipf D. 2021c. Sparse multi-path corrections in fringe projection profilometry//Proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, USA: IEEE: 13339-13348[DOI: 10.1109/CVPR46437.2021.01314http://dx.doi.org/10.1109/CVPR46437.2021.01314]

Zhang Y, Lau D L and Yu Y. 2019e. Causes and corrections for bimodal multi-path scanning with structured light//Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Long Beach, USA: IEEE: 4426-4434[DOI: 10.1109/CVPR.2019.00456http://dx.doi.org/10.1109/CVPR.2019.00456]

Zhang Y B, Lv H J, Liu Y B, Wang H Q, Wang X Z, Huang Q, Xiang X G and Dai Q H. 2017. Light-field depth estimation via epipolar plane image analysis and locally linear embedding. IEEE Transactions on Circuits and Systems for Video Technology, 27(4): 739-747[DOI: 10.1109/TCSVT.2016.2555778]

Zhao Y Y, Li H T, Mei D and Shi K. 2020. Metric calibration of unfocused plenoptic cameras for three-dimensional shape measurement. Optical Engineering, 59(7): #073104[DOI: 10.1117/1.OE.59.7.073104]

Zhao Y Y and Shi S X. 2020. Light-field image super-resolution based on multi-scale feature fusion. Opto-Electronic Engineering, 47(12): #200007

赵圆圆, 施圣贤. 2020. 融合多尺度特征的光场图像超分辨率方法. 光电工程, 47(12): #200007[DOI: 10.12086/oee.2020.200007]

Zhao Z, Buchner A J, Atkinson C, Shi S X and Soria J. 2019. Volumetric measurements of a self-similar adverse pressure gradient turbulent boundary layer using single-camera light-field particle image velocimetry. Experiments in Fluids, 60(9): #141[DOI: 10.1007/s00348-019-2788-0]

Zhao Z, Ding J F, Shi S X, Kaufmann R and Ganapathisubramani B. 2021. Volumetric flow characterisation of a rectangular orifice impinging synthetic jet with single-camera light-field PIV. Experimental Thermal and Fluid Science, 123: #110327[DOI: 10.1016/j.expthermflusci.2020.110327]

Zhao Z and Shi S X. 2021. Volumetric calibration for scheimpflug light-field PIV. Experiments in Fluids, 62(12): #251[DOI: 10.1007/s00348-021-03350-0]

Zheng Y J, Zheng L X, Yu Z F, Shi B X, Tian Y H and Huang T J. 2021. High-speed image reconstruction through short-term plasticity for spiking cameras//Proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, USA: 6354-6363[DOI: 10.1109/CVPR46437.2021.00629http://dx.doi.org/10.1109/CVPR46437.2021.00629]

Zhou P, Yang Z, Cai W J, Yu Y L and Zhou G Q. 2019. Light field calibration and 3D shape measurement based on epipolar-space. Optics Express, 27(7): 10171-10184[DOI: 10.1364/OE.27.010171]

Zhou T H, Brown M, Snavely N and Lowe D G. 2017. Unsupervised learning of depth and ego-motion from video//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, USA: IEEE: 6612-6619[DOI: 10.1109/CVPR.2017.700http://dx.doi.org/10.1109/CVPR.2017.700]

Zhu B K, Chen Y Y, Wang J Q, Liu S, Zhang B and Tang M. 2017a. Fast deep matting for portrait animation on mobile phone//Proceedings of the 25th ACM International Conference on Multimedia. Mountain View, USA: ACM: 297-305[DOI: 10.1145/3123266.3123286http://dx.doi.org/10.1145/3123266.3123286]

Zhu H and Wang Q. 2016. Accurate disparity estimation in light field using ground control points. Computational Visual Media, 2(2): 173-181[DOI: 10.1007/s41095-016-0052-6]

Zhu H, Wang Q and Yu J Y. 2017b. Light field imaging: models, calibrations, reconstructions, and applications. Frontiers of Information Technology and Electronic Engineering, 18(9): 1236-1249[DOI: 10.1631/FITEE.1601727]