Noise-Aware Texture-Preserving Low-Light Enhancement

• URL: http://arxiv.org/abs/2009.01385v1
• Date: Wed, 2 Sep 2020 23:30:03 GMT
• Title: Noise-Aware Texture-Preserving Low-Light Enhancement
• Authors: Zohreh Azizi, Xuejing Lei, and C.-C Jay Kuo
• Abstract summary: The new method, called NATLE, attempts to strike a balance between noise removal and natural texture preservation. Experiments are conducted on common low-light image enhancement datasets to demonstrate the superior performance of NATLE.
• Score: 33.15997505165117
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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