TSRNet: A Trans-Scale and Refined Low-Light Image Enhancement Network
Qi Mu,
Yueyue Ma,
Xinyue Wang
et al.
Abstract:Retinex-based deep learning methods show good low-light enhancement performance and are mainstream approaches in this field. However, the current methods for enhancing low-light images are insufficient in accurately separating illumination and comprehensively restoring degraded information, especially in images with uneven or extremely low illumination levels. This situation often leads to the over-enhancement of bright regions, a loss of detail, and color distortion in the final images. To address these issue… Show more
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