【摘 要】
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Rain can cause performance degradation of outdoor computer vision tasks.Thus,the explo-ration of rain removal from videos or a single image has drawn considerable attention in the field of image processing.Recently,various deraining methodologies have bee
【机 构】
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School of Mathematics and Statistics Ministry of Education Key Lab of Intelligent Networks and Netwo
论文部分内容阅读
Rain can cause performance degradation of outdoor computer vision tasks.Thus,the explo-ration of rain removal from videos or a single image has drawn considerable attention in the field of image processing.Recently,various deraining methodologies have been proposed.However,no comprehensive sur-vey work has yet been conducted to summarize existing deraining algorithms and quantitatively compare their generalization ability,and especially,no off-the-shelf toolkit exists for accumulating and categorizing recent representative methods for easy performance reproduction and deraining capability evaluation.In this regard,herein,we present a comprehensive overview of existing video and single image deraining methods as well as reproduce and evaluate current state-of-the-art deraining methods.In particular,these approaches are mainly classified into model-and deep-learning-based methods,and more elaborate branches of each method are presented.Inherent abilities,especially generalization performance,of the state-of-the-art methods have been both quantitatively and visually analyzed through thorough experiments conducted on synthetic and real benchmark datasets.Moreover,to facilitate the reproduction of existing deraining methods for gen-eral users,we present a comprehensive repository with detailed classification,including direct links to 85 deraining papers,24 relevant project pages,source codes of 12 and 25 algorithms for video and single image deraining,respectively,5 and 10 real and synthesized datasets,respectively,and 7 frequently used image quality evaluation metrics,along with the corresponding computation codes.Research limitations worthy of further exploration have also been discussed for future research along this direction.
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