5 citations · 8 across the 7 of their papers we have counts for
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eess.IV2021
TSN-CA: A Two-Stage Network with Channel Attention for Low-Light Image Enhancement
Xinxu Wei, Xianshi Zhang, Shisen Wang +2
Low-light image enhancement is a challenging low-level computer vision task because after we enhance the brightness of the image, we have to deal with amplified noise, color distor…
eess.IV2021★ 5 cited
DA-DRN: Degradation-Aware Deep Retinex Network for Low-Light Image Enhancement
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 distortion, unknown nois…
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…