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基于改进暗原色先验和颜色校正的水下图像增强

Underwater Image Enhancement Based on Improved Dark Channel Prior and Color Correction

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摘要

水下图像成像过程与雾天图像类似, 但传统的去雾方法用于水下图像处理效果欠佳。针对水下捕获图像存在颜色衰减严重和蓝(绿)色基调的问题, 提出了一种基于改进暗原色先验和颜色校正的水下图像增强方法。结合光在水下的传播特性, 对空气中的暗原色先验去雾算法进行改进, 在求取水下暗原色通道和图像背景光时考虑红色通道的逆通道; 提出先采用改进的水下暗原色先验法去除后向散射光, 再通过白平衡算法对增强后的水下图像进行颜色校正的方法。实验结果表明, 相比于传统算法, 本文的方法在处理后向散射严重的水下图像时, 可以获得更高的清晰度和对比度。

Abstract

The imaging process of the underwater image is similar to that of the haze image. However, the traditional dehazing methods used to underwater image processing can not obtain fruitful results. Aimed at problems of serious color attenuation and blue (green) tone during capturing underwater images, we propose an underwater image enhancement method based on improved dark channel prior and color correction. By considering the propagation characteristics of light in water, we improve the dark channel prior dehazing algorithm for underwater image, and by considering the inverse channel of red channel, we obtain the underwater dark channel and image background light. It is proposed to use the improved underwater dark channel prior to remove the backward scattered light firstly, and then use the white balance algorithm to correct color. The experimental results reveal that the method proposed in this paper, compared with traditional methods, can acquire images with higher resolution and higher contrast during processing serious backscatter of underwater images.

Newport宣传-MKS新实验室计划
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中图分类号:TP391

DOI:10.3788/aos201737.1211003

所属栏目:成像系统

基金项目:国家自然科学基金(61471299, 61571369)

收稿日期:2017-06-13

修改稿日期:2017-07-31

网络出版日期:--

作者单位    点击查看

李黎:西北工业大学航海学院, 陕西 西安 710072
王惠刚:西北工业大学航海学院, 陕西 西安 710072
刘星:西北工业大学航海学院, 陕西 西安 710072

联系人作者:李黎(ll1000220603@126.com)

备注:李黎(1992-), 女, 硕士研究生, 主要从事水下光图像处理方面的研究。E-mail: ll1000220603@126.com

【1】Schettini R, Corchs S. Underwater image processing: State of the art of restoration and image enhancement methods[J]. EURASIP Journal on Advances in Signal Processing, 2010, 2010(1): 746052.

【2】Sun Liying, Xia Min, Han Jiefei, et al. Research of modulation transfer function of underwater imaging system in turbulent environment[J]. Acta Optica Sinica, 2016, 36(8): 0801002.
孙立颖, 夏珉, 韩捷飞, 等. 湍流环境中水下成像系统的调制传递函数研究[J]. 光学学报, 2016, 36(8): 0801002.

【3】Liu C, Meng W. Removal of water scattering[C]. IEEE International Conference on Computer Engineering and Technology, 2010: 11522024.

【4】Wen H, Tian Y, Huang T, et al. Single underwater image enhancement with a new optical model[C]. IEEE International Symposium on Circuits and Systems, 2013: 753-756.

【5】Li X, Yang Z, Shang M, et al. Underwater image enhancement via dark channel prior and luminance adjustment[C]. Oceans, 2016: 1-5.

【6】Ni Jinyan, Li Qingwu, Zhou Yaqin, et al. Underwater image restoration based on transmittance optimization and color temperature adjustment[J]. Laser & Optoelectronics Progress, 2017, 54(1): 011001.
倪锦艳, 李庆武, 周亚琴, 等. 基于透射率优化和色温调节的水下图像复原[J]. 激光与光电子学进展, 2017, 54(1): 011001.

【7】McGlamery B L. A computer model for underwater camera systems[C]. SPIE, 1979, 208: 221-231.

【8】Jaffe J S. Computer modeling and the design of optimal underwater imaging systems[J]. IEEE Journal of Oceanic Engineering, 1990, 15(2): 101-111.

【9】He K, Sun J, Tang X. Single image haze removal using dark channel prior[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2010, 33(12): 2341-2353.

【10】Chiang J Y, Chen Y C. Underwater image enhancement by wavelength compensation and dehazing[J]. IEEE Transactions on Image Processing, 2011, 21(4): 1756-1769.

【11】He K, Sun J, Tang X. Guided image filtering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35(6): 1397-1409.

【12】Codevilla F M, da Costa Botelho S S, Drews P, et al. Underwater single image restoration using dark channel prior[C]. 2014 Symposium on Automation and Computation for Naval, Offshore and Subsea (NAVCOMP), 2014: 18-21.

【13】Cai Chengtao, Su Li, Liang Yanhua. Computer vision technology in marine environment[M]. Beijing: Defense Industry Press, 2015.
蔡成涛, 苏丽, 梁燕华. 海洋环境下的计算机视视觉技术[M]. 北京: 国防工业出版社, 2015.

引用该论文

Li Li,Wang Huigang,Liu Xing. Underwater Image Enhancement Based on Improved Dark Channel Prior and Color Correction[J]. Acta Optica Sinica, 2017, 37(12): 1211003

李黎,王惠刚,刘星. 基于改进暗原色先验和颜色校正的水下图像增强[J]. 光学学报, 2017, 37(12): 1211003

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