期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：9
DOI：10.15680/IJIRCCE.2015. 0309119
出版社：S&S Publications
摘要：Rain removal is a highly useful and important technique in many applications such as surveillance andmovie editing. In the recent years several rain removal algorithms have been proposed, where photometric, chromatic,and probabilistic properties of the rain pixels have been utilized to detect and remove the rainy effect. The existingmethods generally work well with relatively static and light rain scenes, but when dealing with heavier rainfall indynamic scenes in motion, these existing methods give very poor results. The proposed algorithm is based on theconcept of motion segmentation for dynamic scene. After applying chromatic and photometric constraints for raindetection, several rain removal filters are applied on the rainy image such that their dynamic properties as well asmotion occlusion clues are taken into consideration; both spatial and temporal information are then adaptivelyexploited during rain pixel recovery. Extensive simulation results show that the proposed algorithm shows a muchbetter performancefor rainy scenes with large motion than the existing algorithms.
