Underwater image enhancement based on color balance and multi-scale fusion

被引：0

作者：

Hu Z. ^{[1
]}

Chen Q. ^{[1
,2
]}

Zhu D. ^{[1
,2
]}

机构：

[1] Shanghai Engineering Research Center of Intelligent Maritime Search & Rescue and Underwater Vehicles, Shanghai Maritime University, Shanghai

[2] School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai

来源：

Guangxue Jingmi Gongcheng/Optics and Precision Engineering | 2022年 / 30卷 / 17期

关键词：

adaptive histogram equalization; color balance; image enhancement; multi-scale fusion;

D O I：

10.37188/OPE.20223017.2133

中图分类号：

学科分类号：

摘要：

This study proposes an underwater enhancement algorithm based on color balance and multi-scale fusion to address the color deviation， detail blur， and low contrast of underwater images caused by water absorbing and scattered light. A color balance method was used to correct color. Then， the color-corrected image was converted from the RGB space to Lab space， and the L-channel was processed with the contrast limited adaptive histogram equalization method to enhance the contrast. Subsequently， the image was converted back to the RGB space. Finally， the multi-scale fusion method was used to fuse the color-corrected image with the contrast-enhanced image according to weight maps. After image enhancement， the enhancement effect of the proposed algorithm was compared with that of other algorithms in terms of visual effect and image quality evaluations. Experiments show that the proposed algorithm can remove color deviation of an underwater image， as well as improve its clarity and contrast. Compared with the original image， the entropy， UIQM， and UCIQE of the processed image increase by at least 5.2%， 1.25 times， and 30.8%， respectively， thereby proving that the proposed algorithm can effectively improve the visual quality of underwater images. © 2022 Guangxue Jingmi Gongcheng/Optics and Precision Engineering. All rights reserved.

引用

页码：2133 / 2146

页数：13

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