Turbidity-adaptive underwater image enhancement method using image fusion

作     者：Bin HAN Hao WANG Xin LUO Chengyuan LIANG Xin YANG Shuang LIU Yicheng LIN Bin HAN;Hao WANG;Xin LUO;Chengyuan LIANG;Xin YANG;Shuang LIU;Yicheng LIN

作者机构：School of Mechanical Science and EngineeringHuazhong University of Science and TechnologyWuhan430074China Guangdong Intelligent Robotics InstituteDongguan523808China 

出 版 物：《Frontiers of Mechanical Engineering》 (机械工程前沿（英文版）)

年 卷 期：2022年第17卷第3期

页      面：261-279页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：This work was supported by the Guangdong Innovative and Entrepreneurial Research Team Program,China(Grant No.2019ZT08Z780) in part by the Dongguan Introduction Program of Leading Innovative and Entrepreneurial Talents,China,in part by the National Key R&D Program of China(Grant No.2017YFC0821200) in part by the Guangdong Basic and Applied Basic Research Foundation,China(Grant No.2021A1515011717) in part by the Space Trusted Computing and Electronic Information Technology Laboratory of BICE,China(Grant No.OBCandETL-2020-06) 

主　　题：turbidity underwater image enhancement image fusion underwater robots visibility 

摘      要：Clear,correct imaging is a prerequisite for underwater *** real freshwater environment including rivers and lakes,the water bodies are usually turbid and dynamic,which brings extra troubles to quality of imaging due to color deviation and suspended *** of the existing underwater imaging methods focus on relatively clear underwater environment,it is uncertain that if those methods can work well in turbid and dynamic underwater *** this paper,we propose a turbidity-adaptive underwater image enhancement *** deal with attenuation and scattering of varying degree,the turbidity is detected by the histogram of *** on the detection result,different image enhancement strategies are designed to deal with the problem of color deviation and *** proposed method is verified by an underwater image dataset captured in real underwater *** result is evaluated by image metrics including structure similarity index measure,underwater color image quality evaluation metric,and speeded-up robust *** results exhibit that the method can correct the color deviation and improve the quality of underwater images.