基于透射率优化和色温调节的水下图像复原

倪锦艳; 李庆武; 周亚琴; 漆灿

doi:doi:10.3788/lop54.011001

激光与光电子学进展, 2017, 54 (1): 011001, 网络出版: 2017-01-17

基于透射率优化和色温调节的水下图像复原下载： 705次

Underwater Image Restoration Based on Transmittance Optimization and Color Temperature Adjustment

论文大纲

倪锦艳 ^1,*李庆武 ^1,2周亚琴 ¹漆灿 ¹

作者单位

¹ 河海大学物联网与工程学院, 江苏常州 213022

² 常州市传感网与环境感知重点实验室, 江苏常州 213022

图像处理暗原色先验自适应还原色温调节颜色纠正 image processing dark channel prior adaptive restore color temperature adjustment color correction

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摘要

针对水下光学彩色图像的模糊和颜色失真问题, 提出一种基于透射率优化和色温调节的水下图像复原方法。将大气光暗原色先验去雾算法应用到水下光学成像模型中实现水下图像清晰化, 采用引导滤波提高透射率的估计精度, 然后通过设置阈值参数区分水下光学图像中的明亮区域与非明亮区域, 对透射率进行优化处理得到自适应还原图像。最后通过调整图像估计灰度轴的位置对图像进行色温调节还原图像的颜色。实验结果表明, 该算法不仅可以有效提高图像的清晰度, 还可以对图像进行准确的颜色纠正。相比于其他算法, 该算法实现效果好, 具有更好的稳健性。

Abstract

Aimed at the mistiness and color distortion of underwater optical colorful image, an underwater image restoration method based on transmittance optimization and color temperature adjustment is proposed. Dark channel prior algorithm is applied to the underwater optical imaging model to realize the image visualization. Transmittance is improved by guided filter to increase its estimation precision. Then the image should be divided to bright areas and normal areas by setting threshold. Adaptive restored image is got by transmittance optimization. Finally the color of image is restored by adjusting the position of gray axis to rectify color temperature. Experimental result shows that the proposed algorithm can not only improve the clearness of image largely, but also correct the color accurately. Compared to other algorithms, the proposed algorithm have good results and robustness.

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倪锦艳, 李庆武, 周亚琴, 漆灿. 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. Ni Jinyan, Li Qingwu, Zhou Yaqin, Qi Can. Underwater Image Restoration Based on Transmittance Optimization and Color Temperature Adjustment[J]. Laser & Optoelectronics Progress, 2017, 54(1): 011001.

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