基于加权L<sub>1</sub>正则化的水下图像清晰化算法

doi:10.11999/JEIT160481

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Abstract

Due to the absorption and scattering when light is traveling in water, there are two major problems of underwater imaging: color distortion and low contrast. Traditional enhancement and restoration methods can not handle these problems very well, so, this paper proposes a new approach based on the underwater optical imaging model and a Retinex-based enhancing approach. Firstly, a simple color correction method based on statistical method is adopted to address the color distortion. Then the adaptive Wiener filter is used to optimize the initial transmission map with the boundary constraints. In order to make the result more naturalness, a weighted L₁ regularization model is proposed to enhance the luminance layer. Finally, an adaptive Gamma correction operation is adopted for post-processing. Experimental results demonstrate the effectiveness of the proposed method in restoring the original color of the scene and enhancing image contrast and the visibility.

Key words： Image processing Color correction Transmission map Weighted L1 regularization model Adaptive Gamma correction

Received: 10 May 2016 Published: 20 December 2016

PACS:

TP391

Fund:

The National Natural Science Foundation of China (61372145, 61201371)

Corresponding Authors: YANG Aiping E-mail: yangaiping@tju.edu.cn

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	YANG Aiping
	ZHANG Liyun
	QU Chang
	WANG Jian

Cite this article:

YANG Aiping,ZHANG Liyun,QU Chang等. Underwater Images Visibility Improving Algorithm with Weighted L₁Regularization[J]. JEIT, 2017, 39(3): 626-633.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT160481 OR http://jeit.ie.ac.cn/EN/Y2017/V39/I3/626

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