Underwater Image Color Correction Algorithm based on Scattering Statistical Characteristics

被引：0
|
作者：
Shi, Qichao [1 ]
Peng, Zongju [1 ,2 ]
Chen, Fen [1 ,2 ]
Yang, Fuhao [1 ]
Lan, Fangming [1 ]
机构：
[1] Ningbo Univ, Fac Informat Sci & Engn, Ningbo 315211, Peoples R China
[2] Chongqing Univ Technol, Sch Elect & Elect Engn, Chongqing 400054, Peoples R China
来源：
OPTOELECTRONIC IMAGING AND MULTIMEDIA TECHNOLOGY VI | 2019年 / 11187卷
基金：
中国国家自然科学基金;
关键词：
Color Correction; Scattering Statistical Characteristics; Spectral compensation;
D O I：
10.1117/12.2538878
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Different wavelengths of light have different attenuation during underwater transmission, and the attenuation of the same wavelength of light is also inconsistent in various waters. This loss of spectral information causes varying degrees of color distortion in underwater images. In this paper, a novel underwater color correction algorithm based on scattering statistics characteristics is proposed. The algorithm is based on a fact that scattering exists in both atmosphere and underwater. Firstly, we statistically analyze three kinds of images and summarize scattering characteristics. Secondly, a novel spectral compensation strategy is proposed to correct color distortion according to scattering characteristics. Finally, compared with the existing underwater image processing algorithms, there are better subjective and objective indicators. The algorithm is robust for a mass of real underwater images.
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收藏
页数：6
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