[1]
|
Garg K, Nayar S K. Vision and rain. International Journal of Computer Vision, 2007, 75(1): 3-27
|
[2]
|
Garg K, Nayar S K. Detection and removal of rain from videos. In: Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Washington D.C., USA: IEEE, 2004. I-528-I-535
|
[3]
|
Brewer N, Liu N J. Using the shape characteristics of rain to identify and remove rain from video. In: Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition. Berlin, Heidelberg: Springer-Verlag, 2008, 5342: 451-458
|
[4]
|
Miao Y, Hong H N, Kim H. Size and angle filter based rain removal in video for outdoor surveillance systems. In: Proceedings of the 8th Asian Control Conference. Kaohsiung, Taiwan, China: IEEE, 2011. 1300-1304
|
[5]
|
Zhang X P, Li H, Qi Y Y, Leow W K, Ng T K. Rain removal in video by combining temporal and chromatic properties. In: Proceedings of the 2006 International Conference on Multimedia and Expo. Toronto, Canada: IEEE, 2006. 461-464
|
[6]
|
Liu Peng, Xu Jing, Liu Jia-Feng, Tang Xiang-Long. An algorithm for real-time analysis of rain-affected videos. Acta Automatica Sinica, 2010, 36(10): 1371-1378 (刘鹏, 徐晶, 刘家锋, 唐降龙. 一种受雨滴污染视频的快速分析方法. 自动化学报, 2010, 36(10): 1371-1378)
|
[7]
|
Bossu J, Hautiére N, Tarel J P. Rain or snow detection in image sequences through use of a histogram of orientation of streaks. International Journal of Computer Vision, 2011, 93(3): 348-367
|
[8]
|
Barnum P C, Narasimhan S G, Kanade T. Analysis of rain and snow in frequency space. International Journal of Computer Vision, 2010, 86(2-3): 256-274
|
[9]
|
Pinoli J C. The logarithmic image processing model: connections with human brightness perception and contrast estimators. Journal of Mathematical Imaging and Vision, 1997, 7(4): 341-358
|
[10]
|
Jourlin M, Pinoli J C. Logarithmic image processing: the mathematical and physical framework for the representation and processing of transmitted images. Advances in Imaging and Electron Physics, 2001, 115: 129-196
|
[11]
|
Panetta K, Agaian S, Zhou Y C, Wharton E J. Parameterized logarithmic framework for image enhancement. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2011, 41(2): 460-473
|
[12]
|
Zhang Xin-Long, Wang Rong-Gui, Zhang Xuan, Zhu Jing. Calculation model and algorithm in foggy image enhancement. Journal of Image and Graphics, 2011, 16(8): 1359-1368 (张新龙, 汪荣贵, 张璇, 朱静. 雾天图像增强计算模型及算法. 中国图象图形学报, 2011, 16(8): 1359-1368)
|
[13]
|
Deng G. A generalized logarithmic image processing model based on the gigavision sensor model. IEEE Transactions on Image Processing, 2012, 21(3): 1406-1414
|
[14]
|
Hastie T, Tibshirani R, Friedman J. The Elements of Statistical Learning. America: Springer, 2001. 64-67
|
[15]
|
Comaniciu D, Meer P. Mean shift: a robust approach toward feature space analysis. IEEE Transactions on Pattern Recognition and Machine Learning, 2002, 24(5): 603-619
|