雾霾天气下交通监控图像的一种去雾算法
|
摘要
为提高雾霾天气下交通监控图像的清晰化程度,采用暗原色先验与MSR算法相结合的方式,在处理过程中用双边滤波代替MSR算法中的高斯滤波来保持边缘细节特性。实验结果表明,该算法处理的雾霾图像有效地消除了Halo效应,亮度均值适中,图像标准差提高,信息熵增大,总体效果较好,可在一定程度上提高雾霾图像的清晰度。
In order to improve the images' clearness degree of traffic monitoring in the fog and haze weather,dark channel prior and MSR algorithm were used. In the process,bilateral filtering instead of Gauss filter in the MSR algorithm was used to keep the details of the edge characteristics. The experimental results show that the algorithm of image processing effectively eliminate the effect of Halo,the mean of brightness is moderate,the standard deviation of image is enhanced,the information entropy also is increased,the overall effect is well,so it can improve the haze image's clarity at a certain degree.
In order to improve the images' clearness degree of traffic monitoring in the fog and haze weather,dark channel prior and MSR algorithm were used. In the process,bilateral filtering instead of Gauss filter in the MSR algorithm was used to keep the details of the edge characteristics. The experimental results show that the algorithm of image processing effectively eliminate the effect of Halo,the mean of brightness is moderate,the standard deviation of image is enhanced,the information entropy also is increased,the overall effect is well,so it can improve the haze image's clarity at a certain degree.
引文
[1]Yu Jing,Xu Dongbin,Liao Qingmin.Image defogging:a survey[J].Journal of Image and Graphics,2011,16(9):1561-1576.
[2]禹晶,李大鹏,廖庆敏.基于物理模型的快速单幅图像去雾方法[J].自动化学报,2011,37(2):143-149.
[3]郭璠,蔡自兴,谢斌,等.图像去雾技术研究综述与展望[J].计算机应用,2010,30(9):2417-2421.
[4]吴迪,朱青松.图像去雾的最新研究进展[J].自动化学报,2015,41(2):221-239.
[5]HE K,SUN J,TANG X. Single Image Haze Removal Using Dark Channel Prior[J]. Pattern Analysis and Machine Intelligence,2011,33(12):2341-2353.
[6]HE Kaiming,SUN Jian,TANG xiaoou.Sing Image Haze Removal Using Dark Channel Prior[C]//CVPR 2009. Miami,Florida:IEEE,2009:1956-1963.
[7]汪荣贵,傅剑峰,杨志学,等.基于暗原色先验模型的Retinex算法[J].电子学报,2013,41(6):1188-1192.
[8]Land E H.The retinex[J].American Scientist,1964,52(2):247-264.
[9]Jobson D J,Rahman Z,Woodel G A.Properties and performance of a center/surround retinex[J]. IEEE Transactions on Image Processing,1997,6(3):451-462.
[10]Jobson D J,Rahman Z U,Woodell G A. Multiscale retinex for bridging the gap between color images and the human observation of scenes[J]. IEEE Transactions on Image Processing,1997,6:965-976.
[11]史延新.一种基于Retinex理论的图像增强算法[J].电子科技,2007,17(12):32-35.
[12]Mc Cartney E J.Optics of the atmosphere:scattering by molecules and particles[J]. New York,John Wiley and Sons,Inc,1976:23-32.
[13]甘佳佳,肖春霞.结合精确大气散射图计算的图像快速去雾[J].中国图象图形学报,2013,18(5):583-590.
[14]李福文,金伟其,陈伟力,等.基于Retinex模型的彩色图像全局增强算法[J].北京理工大学学报,2010,30(8):947-951.
[15]Guo Fan,Cai Zi-Xing. Objective assessment method for the clearness effect of imag defogging algorithm. Acta Auto-matica Sinica,2012,38(9):1410-1419.
[2]禹晶,李大鹏,廖庆敏.基于物理模型的快速单幅图像去雾方法[J].自动化学报,2011,37(2):143-149.
[3]郭璠,蔡自兴,谢斌,等.图像去雾技术研究综述与展望[J].计算机应用,2010,30(9):2417-2421.
[4]吴迪,朱青松.图像去雾的最新研究进展[J].自动化学报,2015,41(2):221-239.
[5]HE K,SUN J,TANG X. Single Image Haze Removal Using Dark Channel Prior[J]. Pattern Analysis and Machine Intelligence,2011,33(12):2341-2353.
[6]HE Kaiming,SUN Jian,TANG xiaoou.Sing Image Haze Removal Using Dark Channel Prior[C]//CVPR 2009. Miami,Florida:IEEE,2009:1956-1963.
[7]汪荣贵,傅剑峰,杨志学,等.基于暗原色先验模型的Retinex算法[J].电子学报,2013,41(6):1188-1192.
[8]Land E H.The retinex[J].American Scientist,1964,52(2):247-264.
[9]Jobson D J,Rahman Z,Woodel G A.Properties and performance of a center/surround retinex[J]. IEEE Transactions on Image Processing,1997,6(3):451-462.
[10]Jobson D J,Rahman Z U,Woodell G A. Multiscale retinex for bridging the gap between color images and the human observation of scenes[J]. IEEE Transactions on Image Processing,1997,6:965-976.
[11]史延新.一种基于Retinex理论的图像增强算法[J].电子科技,2007,17(12):32-35.
[12]Mc Cartney E J.Optics of the atmosphere:scattering by molecules and particles[J]. New York,John Wiley and Sons,Inc,1976:23-32.
[13]甘佳佳,肖春霞.结合精确大气散射图计算的图像快速去雾[J].中国图象图形学报,2013,18(5):583-590.
[14]李福文,金伟其,陈伟力,等.基于Retinex模型的彩色图像全局增强算法[J].北京理工大学学报,2010,30(8):947-951.
[15]Guo Fan,Cai Zi-Xing. Objective assessment method for the clearness effect of imag defogging algorithm. Acta Auto-matica Sinica,2012,38(9):1410-1419.