2024
DOI: 10.1145/3689642
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A Deep Retinex-Based Low-Light Enhancement Network Fusing Rich Intrinsic Prior Information

Yujie Li,
Xuekai Wei,
Xiaofeng Liao
et al.

Abstract: Images captured under low-light conditions are characterized by lower visual quality and perception levels than images obtained in better lighting scenarios. Studies focused on low-light enhancement techniques seek to address this dilemma. However, simple image brightening results in significant noise, blurring, and colour distortion. In this paper, we present a low-light enhancement (LLE) solution that effectively synergizes Retinex theory with deep learning. Specifically, we construct an efficient image grad… Show more

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