Web: http://arxiv.org/abs/2209.07937

Sept. 19, 2022, 1:14 a.m. | Yunliang Zhuang, Zhuoran Zheng, Chen Lyu

cs.CV updates on arXiv.org arxiv.org

Low-light image enhancement is a classical computer vision problem aiming to
recover normal-exposure images from low-light images. However, convolutional
neural networks commonly used in this field are good at sampling low-frequency
local structural features in the spatial domain, which leads to unclear texture
details of the reconstructed images. To alleviate this problem, we propose a
novel module using the Fourier coefficients, which can recover high-quality
texture details under the constraint of semantics in the frequency phase and
supplement the spatial …

arxiv convolution image light network

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