CERL : A Unified Optimization Framework for Light Enhancement With Realistic Noise

Low-light images captured in the real world are inevitably corrupted by sensor noise. Such noise is spatially variant and highly dependent on the underlying pixel intensity, deviating from the oversimplified assumptions in conventional denoising. Existing light enhancement methods either overlook th...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2022) vom: 14. Juni
Auteur principal:	Chen, Zeyuan (Auteur)
Autres auteurs:	Jiang, Yifan, Liu, Dong, Wang, Zhangyang
Format:	Article en ligne
Langue:	English
Publié:	2022
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article