计算机应用与软件2025，Vol.42Issue(6)：279-283,5.DOI:10.3969/j.issn.1000-386x.2025.06.036
改进的Retinex低照度图像增强算法
IMPROVED RETINEX LOW ILLUMINANCE IMAGE ENHANCEMENT ALGORITHM
宋宇 1付春豹 1马鹏程1
作者信息
- 1. 长春工业大学计算机科学与工程学院 吉林长春 130000
- 折叠
摘要
Abstract
In order to solve the problems of poor visual effect,unclear image and insufficient detail display in low-illuminance image,an improved Retinex algorithm based on guided filtering is proposed.Guided filtering was used to process low-illuminance image,and brightness component was enhanced adaptively,and weighted fusion was performed according to the characteristics of sub-image.It could not only preserve the details of the edge part of the image,but also suppress the"halo"of the local highlight area while enhancing the brightness of the dark area of the image.Through a lot of tests,the improvement of the algorithm is obvious not only in the subjective visual effect,but also in the peak signal to noise ratio(PSNR)and structural similarity(SSIM).关键词
Retinex理论/伽马校正/引导滤波/加权融合Key words
Retinex theory/Gamma correction/Guide filtering/Weighted fusion分类
计算机与自动化引用本文复制引用
宋宇,付春豹,马鹏程..改进的Retinex低照度图像增强算法[J].计算机应用与软件,2025,42(6):279-283,5.
