联合多通道均衡与多尺度融合的水下图像增强方法  

Underwater image enhancement method combining multi-channel equalization and multi-scale fusion

作　　者：姜良伟 全海燕[1] 钱俊兵[2] JIANG Liangwei;QUAN Haiyan;QIAN Junbing(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming,Yunnan 650500,China;Faculty of Civil Aviation and Aeronautics,Kunming University of Science and Technology,Kunming,Yunnan 650500,China)

机构地区：[1]昆明理工大学信息工程与自动化学院,云南昆明650500 [2]昆明理工大学民航与航空学院,云南昆明650500

出　　处：《光电子．激光》2022年第4期373-382,共10页Journal of Optoelectronics·Laser

基　　金：国家自然科学基金(61861023,41364002)资助项目。

摘　　要：针对不同场景水下退化图像出现的颜色失真和低对比度等问题,提出了一种联合多通道均衡与多尺度融合的水下图像增强方法。首先利用绿通道补偿红通道并通过区域红通道均值二次加强红通道,其次利用自适应平台直方图均衡扩展R、G、B3通道灰度级范围并重新分配灰度值,最后将经过Gamma、GUM和CLAHE算法处理的亮度V(Value)分量进行多尺度融合。实验结果表明,本文算法简单而有效,能够明显改善图像雾化现象和蓝绿外观,增强图像清晰度,且在多种场景下均表现出较强的泛化适应能力。Aiming at the problems of color distortion and low contrast of underwater degraded images in different scenes, an underwater image enhancement method combining multi-channel equalization and multi-scale fusion is proposed.Firstly, the green channel is used to compensate the red channel and then the red channel is strengthened again through the regional red channel mean.Secondly, the self-adaptive platform histogram equalization is used to expand the gray-level range of R,G and B channels and redistribute the gray values.Finally, the V channel processed by Gamma, GUM and CLAHE algorithms is fused at multiple scales.The experimental results show that the proposed algorithm is simple and effective, which can significantly improve the haze and blue-green appearance of the image, enhance the image definition, and show strong generalization adaptability in a variety of scenes.

关 键 词：水下图像增强 红通道补偿 自适应平台直方图均衡 多尺度融合 灰度级扩展 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]