基于差异通道增益及改进Retinex的水下图像增强  

Underwater Image Enhancement Based on Differential Channel Gain and Improved Retinex

作　　者：张彩珍[1] 康斌龙 李颖 常元 Zhang Caizhen;Kang Binlong;Li Ying;Chang Yuan(School of Electronic and Information Engineering,LanZhou JiaoTong Univercity,Lanzhou,Gansu 730070,China)

机构地区：[1]兰州交通大学电子与信息工程学院,甘肃兰州730070

出　　处：《激光与光电子学进展》2021年第14期148-155,共8页Laser & Optoelectronics Progress

基　　金：国家自然科学基金青年科学基金(61905102);甘肃省高等学校创新能力提升项目(2019A-035)。

摘　　要：为了提高水下图像的清晰度和可见度,提出一种基于差异通道增益与改进多尺度Retinex算法相结合的算法以改善水下图像的质量。首先考虑到水介质对红光的强衰减性,采用改进的灰度世界法单独对红色通道进行增益,使其更接近均匀光照场景;其次为了消除雾状模糊以及增强细节对比度,采用改进的多尺度Retinex算法对差异通道增强后的图像进行处理,通过使用tanh函数替换多尺度Retinex算法中的对数函数以减少数据的丢失,确保信息的完整性;最后采用自适应伽马技术调整图像的亮度分布。实验结果表明,所提算法处理后的图像清晰,颜色自然,具有更佳的可视效果。In order to improve the clarity and visibility of underwater images,an algorithm based on the combination of differential channel gain and improved multi-scale Retinex algorithm is proposed to improve the quality of underwater images.First,considering the strong attenuation of red light by the water medium,the improved grayscale world method is used to gain the red channel separately to make it closer to the uniform lighting scene.Second,in order to eliminate foggy blur and enhance the contrast of details,the improved multi-scale Retinex algorithm processes the image after the difference channel is enhanced,and replaces the logarithmic function in the multi-scale Retinex algorithm with the tanh function to reduce the loss of data and ensure the integrity of the information.Finally,the adaptive gamma technology is used to adjust the brightness of the image distributed.Experimental results show that the image processed by the proposed algorithm is clear,natural in color,and has better visual effects.

关 键 词：图像处理 水下图像增强 差异通道增益 多尺度RETINEX算法 tanh函数 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]