Single underwater image enhancement based on differential attenuation compensation

被引:15
|
作者
Lai, Yunting [1 ]
Zhou, Zhuang [1 ]
Su, Binghua [1 ]
Zhe, Xuanyuan [2 ]
Tang, Jialin [1 ]
Yan, Jialin [1 ]
Liang, Wanxin [1 ]
Chen, Jiongjiang [1 ]
机构
[1] Beijing Inst Technol, Key Lab Intelligent Detect Complex Environm Aerosp, Zhuhai, Peoples R China
[2] Hong Kong Baptist Univ, Beijing Normal Univ, United Int Coll, Zhuhai, Peoples R China
关键词
underwater image; image enhancement; contrast stretching; differential attenuation compensation; machine vision; ADAPTIVE HISTOGRAM EQUALIZATION;
D O I
10.3389/fmars.2022.1047053
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
High quality underwater images and videos are important for exploitation tasks in the underwater environment, but the complexity of the underwater imaging environment makes the quality of the acquired underwater images generally low. To correct the chromatic aberration and enhance the sharpness of underwater images in order to improve the quality of underwater images, we based on the differential compensation proposed a Differential Attenuation Compensation (DAC) method. The underwater image is contrast stretched to improve the contrast of the image, as well as the underwater image is denoised, for the red channel with serious loss of detail information we choose the blue and green channels with more detail information to compensate for this, and finally the image is restored through the grayscale world to obtain more realistic colors. Our method is qualitatively and quantitatively compared with multiple state-of-the-art methods in the public underwater image dataset, underwater image enhancement benchmark (UIEB) and enhancing underwater visual perception (EUVP), demonstrating that the underwater images processed by our method better resolve the problems of chromatic aberration and blur, with more realistic color, detail and better underwater image quality evaluation indicators
引用
收藏
页数:18
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