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arXiv · 2009.01385

Noise-Aware Texture-Preserving Low-Light Enhancement

Zohreh Azizi·Xuejing Lei·C. -C Jay Kuo
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Abstract

A simple and effective low-light image enhancement method based on a noise-aware texture-preserving retinex model is proposed in this work. The new method, called NATLE, attempts to strike a balance between noise removal and natural texture preservation through a low-complexity solution. Its cost function includes an estimated piece-wise smooth illumination map and a noise-free texture-preserving reflectance map. Afterwards, illumination is adjusted to form the enhanced image together with the reflectance map. Extensive experiments are conducted on common low-light image enhancement datasets to demonstrate the superior performance of NATLE.

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Zohreh Azizi, Xuejing Lei, C. -C Jay Kuo. 2020-09-02. Noise-Aware Texture-Preserving Low-Light Enhancement. https://arxiv.org/abs/2009.01385

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