红外技术2024，Vol.46Issue(9)：984-993,10.
基于颜色校正和暗亮双通道先验的水下图像增强算法
Underwater Image Enhancement Algorithm Based on Color Correction and the Dark-Bright Dual-Channel Prior
摘要
Abstract
In the process of underwater imaging,the light source is one of the key factors affecting image quality owing to the scattering and absorption of light.This results in many problems such as color distortion,low contrast,and visibility of underwater images.Underwater images with degraded quality are not conducive to analysis and utilization.To address these problems,we propose an underwater image-enhancement algorithm based on color correction and dark-bright dual-channel prior.First,a color-compensation algorithm based on the standard deviation ratio is proposed to effectively solve the color-distortion problem.Sharpening is used to enhance the details and edges of the image to obtain a contrast-enhanced image.Conversely,we propose a dark and bright dual-channel to remove image blur based on channel-difference weighting to obtain a visibility-restored image.Finally,a multiscale fusion method is used to fuse the contrast-enhanced and visibility-restored images based on the weights.The proposed algorithm is compared with other underwater image enhancement algorithms for qualitative and quantitative evaluations.Experimental results show that the proposed algorithm can effectively eliminate color deviations and restore image clarity.The enhanced images generated are better than those generated by other algorithms in terms of Undewater Color Image Quality Evaluation(UCIQE),Underwater Image Quality Measurement(UIQM)andInformation Entropy(IE)parameter indices.Underwater images are of high quality owing to the scattering and absorption of underwater light.关键词
水下图像增强/颜色校正/双通道先验/多尺度融合Key words
underwater image enhancement/color correction/dual-channel prior/multiscale fusion分类
计算机与自动化引用本文复制引用
杨润,刘增力,赵宣植..基于颜色校正和暗亮双通道先验的水下图像增强算法[J].红外技术,2024,46(9):984-993,10.基金项目
国家自然科学基金(60872157) （60872157）
国防科技重点实验室基金项目(2023JCJQLB3301). （2023JCJQLB3301）
