Underwater image enhancement based on color-line model and homomorphic filtering

被引:19
|
作者
Yu, Haifeng [1 ]
Li, Xinbin [1 ]
Lou, Qian [1 ]
Yan, Lei [1 ]
机构
[1] Yanshan Univ, Inst Elect Engn, Qinhuangdao 066004, Hebei, Peoples R China
基金
中国国家自然科学基金;
关键词
Underwater image; Color-line model; Homomorphic filtering; Non-convex optimization; REGULARIZATION;
D O I
10.1007/s11760-021-01960-z
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The underwater images suffer from low contrast, low visibility and color deviation which caused by scattering and absorption. In this paper, the method based on color-line model and homomorphic filtering is proposed to enhance the underwater image. First of all, the homomorphic filtering is used to remove the color deviation in the underwater image and the obtained image will be used for subsequent processes. Then, the transmission of the underwater image is estimated through the solution of the offsets that the color lines along the background-light vector from the origin. We develop a non-convex optimization function to obtain the transmission of the underwater image. Finally, the color correction is added in the underwater image which obtained by the color-line method. The simulation experiments results show that the proposed method is superior to the current state-of-the-art methods in the four aspects of quantitative analysis, qualitative analysis, color accuracy analysis, and restoring synthesized underwater images.
引用
收藏
页码:83 / 91
页数:9
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