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    • PrioLLIE: Latent Space Decomposition Guided by Illumination-Prior Constraints for Low-Light Image Enhancement

    • The relevant research team has made new progress in the field of low light image enhancement. Experts have proposed a latent spatial decomposition method with lighting prior constraints (PrioLLIE), which provides a new solution to solve the problems of lighting estimation bias and insufficient detail restoration in complex low light scenes using traditional methods.
    • Pages: 1-12(2025)   

      Received:30 September 2025

      Revised:2025-12-05

      Accepted:17 December 2025

      Online First:17 December 2025

    • DOI: 10.11834/jig.250484     

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  • Zhang Weidong, Gao Xingyun, Zhou Ling, Lu Haoxiang, Zhao Wenyi. PrioLLIE: Latent Space Decomposition Guided by Illumination-Prior Constraints for Low-Light Image Enhancement[J/OL]. Journal of Image and Graphics,2025,1-12. DOI: 10.11834/jig.250484. DOI:
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Zhang Hang 武汉大学电子信息学院
Yan Jia 武汉大学电子信息学院
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相关机构

School of Electronic Information, Wuhan University
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