Underwater color image enhancement algorithm based on multi-channel equalization

被引：0

作者：

Li C. ^{[1
]}

Sun Y. ^{[1
]}

Yan J. ^{[2
]}

Fan T. ^{[3
]}

机构：

[1] College of Computer and Information, Hohai University, Nanjing

[2] College of Engineering, Shantou University, Shantou, 515063, Guangdong

[3] School of Information Engineering, Nanchang Institute of Technology, Nanchang

来源：

Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) | 2019年 / 47卷 / 06期

关键词：

Color correction; Image enhancement; Image processing; Retinex theory; Underwater color image;

D O I：

10.13245/j.hust.190601

中图分类号：

学科分类号：

摘要：

In view of the color attenuation and scattering effect of underwater environment, the color of underwater image is seriously distorted. In this paper, a multi-channel equalization algorithm for underwater image enhancement was proposed. First, the original image was converted to the HIS (hue-saturation-intensity)color space after the normalization of the original image in the logarithmic domain. Then, the intensity component was enhanced by using the McCann Retinex algorithm in four directions (the vertical and horizontal directions), and the illumination was enhanced according to the global brightness information of the image. Finally, it was re-converted to RGB (red-green-blue) space, and the cumulative distribution function of each channel was calculated, and the dense part was stretched to achieve the effect of color equalization. The contrast experiments of multiple underwater color images were carried out. The results show that the color distortion of the enhanced image obtained by the proposed method is effectively relieved, the contrast and clarity of the image are significantly improved and the color is brighter.The algorithm, while improving the information of underwater image, preserves the information of saturation and chromaticity, and solves the problem of color distortion of underwater image enhancement. In addition, it has high contrast and clarity. © 2019, Editorial Board of Journal of Huazhong University of Science and Technology. All right reserved.

引用

页码：1 / 5and29

页数：528

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