A new underwater image enhancement algorithm based on adaptive feedback and Retinex algorithm

作     者：Tang, Zhijie Jiang, Lizhou Luo, Zhihang 

作者机构：Shanghai Univ Sch Mechatron Engn & Automat 99 Shangda Rd Shanghai Peoples R China 

出 版 物：《MULTIMEDIA TOOLS AND APPLICATIONS》 (多媒体工具和应用)

年 卷 期：2021年第80卷第18期

页      面：28487-28499页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Natural Science Foundation of China Innovation Program of Shanghai Municipal Education Commission [14YZ010] Natural Science Foundation of Shanghai [14ZR1414900, 19ZR1419300] 

主　　题：Underwater image Image fusion Image enhancement Retinex algorithm Adaptive adjustment 

摘      要：Due to the serious attenuation and scattering effects of light underwater, actual underwater images have problems such as low contrast and color distortion. This paper proposes an underwater image enhancement algorithm. First, we apply the guided filtering to the algorithm improvement to get the improved image. Then, the image is converted from RGB color space to HSI space, and the three components of hue, saturation, and intensity are separated. Then use adaptive feedback adjustment to achieve the stretching of saturation and linear enhancement of intensity. Then the image is converted from the HSI color space back to the RGB color space to obtain an enhanced image. Finally, the improved image and the enhanced image are merged at the pixel level. After experimental analysis and comparison, the time required for guided filtering to process images can be reduced by 65%, the structural similarity can reach more than 90%, and the peak signal-to-noise ratio and information entropy have been greatly improved. From a visual point of view, the color saturation, color richness, local contrast and clarity of the image have all been significantly improved.