NDLI: Rain detection and removal of sequential images

Content Provider	IEEE Xplore Digital Library
Author	Ming Zhou Zhichao Zhu Rong Deng Shuai Fang
Copyright Year	2011
Description	Author affiliation: School of Computer and Information, Hefei University of Technology, Hefei 230009, China (Ming Zhou; Zhichao Zhu; Rong Deng; Shuai Fang)
Abstract	Detection and removal of rain in image is a difficult and crucial problem due to the complexity of rain and its negative effects on image. The spatio-temporal property and the chromatic property of rain are comprehensively analyzed. Using the two properties, a simple but effective algorithm is proposed to detect and remove the rain of sequential images. Firstly time complexity of k-means is reduced by our optimized algorithm. Then each pixel is classified by the optimized k-means according to the spatio-temporal property. Next the chromatic constraint is used to identify accurately the rain. Finally the blending parameter α is computed and the rain in each frame is removed. The method can handle both light and heavy rain in image. Experimental results prove that our algorithm performs simply but effectively.
Starting Page	615
Ending Page	618
File Size	690871
Page Count	4
File Format	PDF
ISBN	9781424487370
e-ISBN	9781424487387
DOI	10.1109/CCDC.2011.5968255
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	K-means Computer vision rain removal image procession Educational institutions Rain Image color analysis image restoration Cameras chromatic property Colored noise Pixel Rain detection
Content Type	Text
Resource Type	Article

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