2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2022
Seeing Through the Noisy Dark: Towards Real-world Low-Light Image Enhancement and Denoising
Jiahuan Ren, Zhao Zhang, Richang Hong +3
Low-light image enhancement (LLIE) aims at improving the illumination and visibility of dark images with lighting noise. To handle the real-world low-light images often with heavy…
cs.CV2022★ 2 cited
Noise Self-Regression: A New Learning Paradigm to Enhance Low-Light Images Without Task-Related Data
Zhao Zhang, Suiyi Zhao, Xiaojie Jin +4
Deep learning-based low-light image enhancement (LLIE) is a task of leveraging deep neural networks to enhance the image illumination while keeping the image content unchanged. Fro…