Low-light image enhancement and denoising via dual-constrained Retinex model

Shuangli Du,Minghua Zhao,Yiguang Liu,Zhenzhen You,Zhenghao Shi,Jie Li,Zhenyu Xu

Applied Mathematical Modelling（2022）

引用 2|浏览21

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摘要

•The visual difference between noise and image structure is described and used for denoising.•A dual-constrained Retinex decomposition model is proposed for low-light image enhancement and removing imaging noise.•A patch-aware low-rank prior is proposed for denoising, which can measure noise intensity for each image patch.

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关键词

Retinex model,Visual difference,Relative total variation,Patch-aware low-rank model,Low-light image enhancement

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