A restoration algorithm for rain video image
Shuai Fang · Journal of Hefei University of Technology · 2011
In this paper,the spatio-temporal property and the chromatic property of rain in the video are analyzed.Based on the two properties,a simple and effective algorithm is proposed to detect and remove the rain in the video by using sequential image.Firstly the time complexity of K-means is optimized by the algorithm.Then each pixel is classified by the optimized K-means according to the spatio-temporal property of rain and the rain parts are identified accurately according to the chromatic property of rain for the rain detection.For the rain removal,the color of streak is replaced by the proportion-blending color of the rain's color and the background's color based on the statistic characteristics.And for achieving a clearer restoration result,the original images are preprocessed before the detection and filtering is carried out for the no-rain parts after rain removal.Experimental results prove that the proposed algorithm is simple and effective.