Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement

Real-world low-light images suffer from two main degradations, namely, inevitable noise and poor visibility. Since the noise exhibits different levels, its estimation has been implemented in recent works when enhancing low-light images from raw Bayer space. When it comes to sRGB color space, the noi...

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Vydané v:	Proceedings / IEEE International Conference on Computer Vision s. 4419 - 4428
Hlavní autori:	Zheng, Chuanjun, Shi, Daming, Shi, Wentian
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2021
Predmet:	Adaptation models Adaptive systems Estimation Low-level and physics-based vision Minimization Noise reduction Pipelines
ISSN:	2380-7504
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