颜色保持的实时图像/视频去雾算法

doi:10.11772/j.issn.1001-9081.2014.09.2702

计算机应用 ›› 2014, Vol. 34 ›› Issue (9): 2702-2707.DOI: 10.11772/j.issn.1001-9081.2014.09.2702

颜色保持的实时图像/视频去雾算法

刁扬桀¹,²,张红英¹,²,吴亚东³,陈萌¹,²

1. 特殊环境机器人技术四川省重点实验室(西南科技大学)，四川绵阳 621010；
2. 西南科技大学信息工程学院，四川绵阳 621010；
3. 西南科技大学计算机科学与技术学院，四川绵阳 621010

收稿日期:2014-03-04 修回日期:2014-04-15 出版日期:2014-09-01 发布日期:2014-09-30
通讯作者: 张红英
作者简介:
刁扬桀(1990-)，男，四川泸州人，硕士研究生，主要研究方向：图像处理、DSP;
张红英(1976-)，女，四川德阳人，教授，博士，主要研究方向：图像分析与处理、运动目标检测与跟踪;
吴亚东(1979-)，男，河南舞阳人，教授，博士，CCF会员，主要研究方向：图像处理及可视化;
陈萌(1988-)，女，四川成都人，硕士研究生，主要研究方向：图像处理。
基金资助:
四川省科技厅青年基金资助项目;中国科学院西部之光人才培养计划项目

Real-time image/video haze removal algorithm with color restoration

DIAO Yangjie¹,²,ZHANG Hongying¹,²,WU Yadong³,CHEN Meng¹,²

1. Robot Technology Used for Special Environment Key Laboratory of Sichuan Province (Southwest University of Science and Technology), Mianyang Sichuan 621010, China
2. School of Information Engineering, Southwest University of Science and Technology, Mianyang Sichuan 621010, China
3. School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang Sichuan 621010, China

Received:2014-03-04 Revised:2014-04-15 Online:2014-09-01 Published:2014-09-30
Contact: ZHANG Hongying

摘要/Abstract

摘要：

针对目前去雾算法实时性较差，对天空等区域的处理不理想以及去雾后图像偏暗等问题，提出一种实时有效的去雾算法。首先，利用暗原色先验估计粗略透射率图；其次，下采样粗略透射率图并用优化的导向滤波得到改善的透射率图，以便实时处理更高分辨率的图像；然后，上采样改善的透射率图，并对其进行修正，得到优化后的透射率图，以解决暗原色先验不适于处理含有天空等大面积亮区图像的问题；最后，经过颜色保持的自适应亮度调整得到最终去雾图像。该算法时间复杂度仅是图像像素数的线性函数，对分辨率为600×400的图像，耗时约80ms。与基于导向滤波算子的暗原色先验的单幅图像去雾方法、基于中值滤波的快速去雾方法和带颜色恢复的多尺度Retinex(MSRCR)算法进行了对比，

Abstract:

To overcome the defects of the existing algorithms, such as the poor real-time performance, bad effect in sky area and dark dehazed image, a real-time image haze removal algorithm was proposed. Firstly, dark channel prior was used to estimate the rough transmission map. Secondly, the method of optimized guided filtering was used to refine the down-sampled rough transmission map, which can real-time process higher resolution image. Thirdly, refined transmission map was up-sampled and corrected to obtain the final transmission map, which can overcome the defect of bad effect in sky area. Finally, the clear image was got by adaptive brightness adjustment with color restoration. The complexity of the algorithm is only a linear function of the number of input image pixels, which brings a very fast implementation. For the image which resolution is 600×400, the processing time is 80ms.

中图分类号:

TP391.413

刁扬桀张红英吴亚东陈萌. 颜色保持的实时图像/视频去雾算法[J]. 计算机应用, 2014, 34(9): 2702-2707.

DIAO Yangjie ZHANG Hongying WU Yadong CHEN Meng. Real-time image/video haze removal algorithm with color restoration[J]. Journal of Computer Applications, 2014, 34(9): 2702-2707.

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颜色保持的实时图像/视频去雾算法

Real-time image/video haze removal algorithm with color restoration

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