Simple low-light image enhancement based on Weber–Fechner law in logarithmic space
作者：
Highlights：
• It is a simple and effective strategy to map the gray levels of the image pixels to logarithmic space based on Weber–Fechner law.
• In the framework, the image is logarithmically transformed by adaptively adjusting the parameters of the illumination distribution and has the compensation mechanism of color saturation.
• It applies local and global information to reduce the influence of non-uniform illumination on the image adaptively, and the enhanced image is clear and natural.
• This method does not need lots of datasets for training and can produce satisfying results with less computational complexity.
摘要
•It is a simple and effective strategy to map the gray levels of the image pixels to logarithmic space based on Weber–Fechner law.•In the framework, the image is logarithmically transformed by adaptively adjusting the parameters of the illumination distribution and has the compensation mechanism of color saturation.•It applies local and global information to reduce the influence of non-uniform illumination on the image adaptively, and the enhanced image is clear and natural.•This method does not need lots of datasets for training and can produce satisfying results with less computational complexity.
论文关键词：Logarithmic transformation,Low-light image,Non-uniform illumination,Weber–Fechner law,Color compensation
论文评审过程：Received 27 November 2021, Revised 21 April 2022, Accepted 12 May 2022, Available online 27 May 2022, Version of Record 4 June 2022.
论文官网地址：https://doi.org/10.1016/j.image.2022.116742
