基于加權(quán)L1正則化的水下圖像清晰化算法

楊愛萍; 張莉云; 曲暢; 王建

doi:10.11999/JEIT160481

基于加權(quán)L1正則化的水下圖像清晰化算法

doi: 10.11999/JEIT160481

1.
(天津大學電子信息工程學院天津 300072) ②(國家海洋技術(shù)中心天津 300112)

基金項目:

國家自然科學基金(61372145, 61201371)

計量
- 文章訪問數(shù): 1503
- HTML全文瀏覽量: 178
- PDF下載量: 401
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2016-05-10
- 修回日期: 2016-10-31
- 刊出日期: 2017-03-19

Underwater Images Visibility Improving Algorithm with Weighted L1 Regularization

1.
(School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China)

Funds:

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

摘要

摘要: 水體對光能量有較強的吸收和散射作用，造成水下圖像顏色失真，對比度下降。傳統(tǒng)的圖像增強方法和復(fù)原方法處理水下圖像時各有不足，該文結(jié)合水下成像物理模型和基于Retinex理論的圖像增強算法，提出水下圖像清晰化方案。首先，基于圖像統(tǒng)計特性給出一種簡單的顏色校正方法，以去除顏色失真；在水下圖像成像理論框架下，利用邊界約束求得初始透射率，再使用自適應(yīng)維納濾波進行優(yōu)化；在此基礎(chǔ)上，提出加權(quán)L1正則化模型對亮度層進行增強，最后再進行自適應(yīng)Gamma校正。實驗結(jié)果表明，算法可以有效去除顏色失真，而且能夠大幅提升圖像的對比度和清晰度。
- 圖像處理 /
- 顏色校正 /
- 透射率 /
- 加權(quán)L1正則化 /
- 自適應(yīng)Gamma校正
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.
- Image processing /
- Color correction /
- Transmission map /
- Weighted L1 regularization model /
- Adaptive Gamma correction

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參考文獻(23)

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