Auto Color Correction of Underwater Images Utilizing Depth Information

被引：85

作者：

Zhou, Jingchun ^{[1
]}

Zhang, Dehuan ^{[1
]}

Ren, Wenqi ^{[2
]}

Zhang, Weishi ^{[1
]}

机构：

[1] Dalian Maritime Univ, Coll Informat Sci & Technol, Dalian 116026, Peoples R China

[2] Chinese Acad Sci, Inst Informat Engn, Beijing 100864, Peoples R China

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2022年 / 19卷

基金：

中国国家自然科学基金;

关键词：

Image color analysis; Image restoration; Interpolation; Cameras; Attenuation; Absorption; Task analysis; Color correction; depth information; preprocessing method; underwater image;

D O I：

10.1109/LGRS.2022.3170702

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

The red spectrum is saliently attenuated due to the absorption and scattering properties of water. The acquired underwater images show severe color cast in underwater scenes. In this letter, we propose a novel color correction method for underwater images, which removes color cast on single pixels based on scene depth. The experimental results demonstrate that our approach can significantly improve the color effect and provide a correct input for the subsequent underwater image defogging methods.

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