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    • Zero-Supervised Low-Light Image Enhancement with Illumination-Guided Reflectance Estimation

    • Experts have proposed a zero supervision weak light image enhancement method, which eliminates the dependence on paired supervised data, effectively suppresses overexposure and noise, improves the quality of weak light imaging and object detection performance, and provides strong support for advanced visual tasks such as visual monitoring and autonomous driving.
    • Pages: 1-17(2026)   

      Received:02 October 2025

      Revised:2026-01-28

      Accepted:27 February 2026

      Online First:28 February 2026

    • DOI: 10.11834/jig.250486     

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  • BAO Xiao-an, Chen Yi-jiang, ZHANG Na, Hu Tian-bin, TU Xiao-mei. Zero-Supervised Low-Light Image Enhancement with Illumination-Guided Reflectance Estimation[J/OL]. Journal of Image and Graphics,2026,1-17. DOI: 10.11834/jig.250486. DOI:
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相关作者

Zhang Rong 河海大学计算机与软件学院
Yao Liang 河海大学计算机与软件学院
Zhang Yixin 河海大学计算机与软件学院
Wang Yijun 河海大学计算机与软件学院
Zhang Chuanyi 河海大学计算机与软件学院
Liu Fan 河海大学计算机与软件学院
Gao Guangshuai 中原工学院信息与通信工程学院
Shang Yunqi 中原工学院信息与通信工程学院

相关机构

College of Computer Science and Software Engineering, Hohai University
School of Information and Communication Engineering, Zhongyuan University of Technology
School of Automation Engineering, University of Electronic Science and Technology of China
School of Geosciences and Info-physics, Central South University
Mine Digitization Engineering Research Center of the Ministry of Education
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