摘要
针对水下图像发生图像色偏严重、对比度不足以及细节模糊,提出一种基于自适应色彩补偿和小波融合的水下图像增强算法。利用四叉树法判断图像的色偏类型,进行自适应色彩补偿消除色偏,获取色彩平衡图像。通过亮度和细节双重增强处理,在HSV空间中利用改进的小波融合算法对色彩平衡图、亮度增强图和细节增强图融合,提升图像细节和对比度,得到最终图像。实验表明算法可以有效校正图像色彩,提高图像对比度和细节。
An underwater image enhancement algorithm based on adaptive color compensation and wavelet fusion is proposed to address the severe issues of color cast,insufficient contrast,and blurred details in underwater images.Initially,the quadtree method is employed to identify the type of color cast in the image,enabling adaptive color compensation to eliminate the color cast and to obtain a color balanced images.Subsequently,a dual enhancement process focusing on both brightness and details is applied.In the HSV color space,an improved wavelet fusion algorithm is utilized to integrate the color balanced image,brightness-enhanced image,and detail-enhanced image,thereby enhancing image details and contrast to produce the final images.The experimental results demonstrate that the proposed algorithm can effectively correct image colors,enhances image contrast and details.
作者
曹瑞
胡红萍
杨正民
CAO Rui;HU Hongping;YANG Zhengmin(Department of Mathematics,North University of China,Taiyuan 030051,China;School of Information and Innovation Industry,Shanxi University of Electronic Science and Technology,Linfen 041099,China)
出处
《火力与指挥控制》
北大核心
2025年第9期74-81,共8页
Fire Control & Command Control
基金
山西省基础研究计划资助项目(20210302123019,20210302124195,20210302124212,20210302123189)
山西省回国留学人员项目(2021-108)
中北大学研究生科技立项基金资助项目(20242042)。
关键词
四叉树
色彩补偿
小波融合
水下图像
图像增强
quad-tree
color compensation
wavelet fusion
underwater images
image enhancement
