红外技术2024，Vol.46Issue(5)：532-538,7.
改进直方图匹配和自适应均衡的水下图像增强
Underwater Image Enhancement Based on Improved Histogram Matching and Adaptive Equalization
摘要
Abstract
To improve the color of underwater imaging more effectively,and enhance the contrast and clarity of images,an underwater image enhancement method based on improved histogram matching and adaptive equalization is proposed.Each channel image is subjected to histogram matching using the histogram of the channel image with the largest pixel mean as the benchmark to correct the color deviation of the underwater image;taking full advantage of the independence of the color and lightness components in the HSI color space,this method performs an adaptive local histogram equalization on the lightness component,further improving the contrast and clarity of the image.Subjective and objective experimental data show that compared with some existing methods,the proposed method achieves better visual effects on underwater images after enhancement,with higher information entropy,an average gradient,UIQM,and SSIM.Therefore,the proposed method has a better enhancement effect on underwater images.关键词
水下图像增强/直方图匹配/局部直方图均衡/水下图像质量指标Key words
underwater image enhancement/histogram matching/local histogram equalization/UIQM分类
计算机与自动化引用本文复制引用
周辉奎,章立,胡素娟..改进直方图匹配和自适应均衡的水下图像增强[J].红外技术,2024,46(5):532-538,7.基金项目
江西省高等学校教学改革研究课题(JXJG-20-50-9). （JXJG-20-50-9）
