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eess.IV2020★ 1 cited
Better Than Reference In Low Light Image Enhancement: Conditional Re-Enhancement Networks
Yu Zhang, Xiaoguang Di, Bin Zhang +2
Low light images suffer from severe noise, low brightness, low contrast, etc. In previous researches, many image enhancement methods have been proposed, but few methods can deal wi…
eess.IV2020★ 3 cited
Learning an Adaptive Model for Extreme Low-light Raw Image Processing
Qingxu Fu, Xiaoguang Di, Yu Zhang
Low-light images suffer from severe noise and low illumination. Current deep learning models that are trained with real-world images have excellent noise reduction, but a ratio par…