64 citations · 67 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 64 cited
Learning to Adapt to Light
Kai-Fu Yang, Cheng Cheng, Shi-Xuan Zhao +2
Light adaptation or brightness correction is a key step in improving the contrast and visual appeal of an image. There are multiple light-related tasks (for example, low-light enha…
eess.IV2021★ 3 cited
BLNet: A Fast Deep Learning Framework for Low-Light Image Enhancement with Noise Removal and Color Restoration
Xinxu Wei, Xianshi Zhang, Shisen Wang +4
Images obtained in real-world low-light conditions are not only low in brightness, but they also suffer from many other types of degradation, such as color bias, unknown noise, det…