基于光补偿和逐像素透射率的图像复原算法

doi:10.11959/j.issn.1000-436x.2017099

通信学报 ›› 2017, Vol. 38 ›› Issue (5): 48-56.doi: 10.11959/j.issn.1000-436x.2017099

基于光补偿和逐像素透射率的图像复原算法

杨燕,陈高科

兰州交通大学电子与信息工程学院，甘肃兰州 730070

修回日期:2017-01-17 出版日期:2017-05-01 发布日期:2017-05-28
作者简介:杨燕（1972-），女，河南临颍人，博士，兰州交通大学教授、硕士生导师，主要研究方向为数字图像处理、智能信息处理、语音信号处理。|陈高科（1992-），男，甘肃平凉人，兰州交通大学硕士生，主要研究方向为数字图像处理。
基金资助:
国家自然科学基金资助项目(61561030);甘肃省财政厅基本科研业务费基金资助项目(214138);兰州交通大学教改基金资助项目(160012)

Single image visibility restoration using optical compensation and pixel-by-pixel transmission estimation

Yan YANG,Gao-ke CHEN

School of Electronic and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China

Revised:2017-01-17 Online:2017-05-01 Published:2017-05-28
Supported by:
The National Natural Science Foundation of China(61561030);Fundamental Research Funds for the Gansu Provincial Finance Department(214138);Research Fund of Teaching Reform Project of Lanzhou Jiaotong University(160012)

摘要/Abstract

摘要：

针对雾霾和沙尘天气下图像降质，提出一种光补偿色彩复原和逐像素透射率估计的单幅图像可见度复原算法。沙尘颗粒对蓝光吸收导致图像偏黄，利用光补偿方法可以消除偏色现象并转换为雾图。以最小颜色通道与其高斯函数的比值关系估计透射率，用中值滤波消除透射率纹理效应，恢复的透射率深度交替明显，边缘保持良好，不需要耗时的后处理操作，最后根据大气散射模型恢复图像。实验结果表明，沙尘天气处理效果较好，雾天图像恢复的图像饱和度适宜，明亮区域恢复得更为自然，运行时间较快。

关键词: 光补偿色彩复原, 透射率, 大气散射模型, 去雾

Abstract:

Aiming at image degradation in hazy and sandstorm weather,an optical compensation color restoration and pixel-by-pixel transmissvity estimation algorithm was proposed.The blue light was absorbed by sandstorm particles.The color shift phenomenon could be eliminated by optical compensate method,which convert the sandstorm images into hazy images.Then the ratio relationship between the minimum channel and its Gaussian function as the transmissivity,and median filter was used to eliminate its texture effects.The depth of the restored transmissivity alternated obviously and the edge was well preserved,which did not need the time-consuming postprocessing operativity.Finally,the image was restored by the atmospheric scattering model.The experimental results show that recovered sandstorm image treatment is better,and the saturation of the haze image is appropriate,the bright area is more nature,and running time is faster.

Key words: optical compensate color restoration, transmissivity, atmospheric scattering model, dehaze

中图分类号:

TP391

杨燕,陈高科. 基于光补偿和逐像素透射率的图像复原算法[J]. 通信学报, 2017, 38(5): 48-56.

Yan YANG,Gao-ke CHEN. Single image visibility restoration using optical compensation and pixel-by-pixel transmission estimation[J]. Journal on Communications, 2017, 38(5): 48-56.

图/表 14

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图6

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图9

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表1

去雾结果客观评价"

实验图像		文献[17]方法			文献[7]方法			文献[5]方法			本文方法
实验图像	e	τ	$\bar{r}$	e	τ	$\bar{r}$	e	τ	$\bar{r}$	e	τ	$\bar{r}$
图8(a)左图	—	—	—	—	—	—	0.34	0.02	1.18	0.96	0	1.50
图9(a)	0.08	0.01	2.28	0.04	0.020	1.23	0.08	0.01	1.33	0.14	0	1.37
图10(a)	?0.14	0.02	2.34	?0.06	0.086	1.32	0.06	0	1.42	0.09	0	1.42
图11(a)	?0.08	0.01	2.08	0.03	0	1.27	0.06	0	1.42	0.09	0	1.66
图12(a)	?0.04	0.01	1.78	0.08	0.060	1.24	0.06	0	1.38	0.12	0	1.51
图13(a)	0.03	0.02	2.04	-0.02	0	1.16	0.09	0.01	1.24	0.08	0	1.47

表1

参考文献 18

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基于光补偿和逐像素透射率的图像复原算法

Single image visibility restoration using optical compensation and pixel-by-pixel transmission estimation

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