Support Vector Regression Based Color Image Restoration in YUV Color Space  

作　　者：黎明 杨杰 苏中义 

机构地区：[1]Institute of Image Processing and Pattern Recognition,Shanghai Jiaotong University [2]Department of Electronic Engineering,Shanghai Dianji University

出　　处：《Journal of Shanghai Jiaotong university(Science)》2010年第1期31-35,共5页上海交通大学学报（英文版）

基　　金：the National Natural Science Foundation of China (No. 60675023)

摘　　要：A support vector regression(SVR) based color image restoration algorithm is proposed.The test color images are firstly mapped into the YUV color space,and then SVR is applied to build up a theoretical model between the degraded images and the original one.Performance comparisons of the proposed algorithm versus traditional filtering algorithms are given.Experimental results show that the proposed algorithm has better performance than traditional filtering algorithms and has less computation time than iterative blind deconvolution algorithm.A support vector regression （SVR） based color image restoration algorithm is proposed. The test color images are firstly mapped into the YUV color space, and then SVR is applied to build up a theoretical model between the degraded images and the original one. Performance comparisons of the proposed algorithm versus traditional filtering algorithms are given. Experimental results show that the proposed algorithm has better performance than traditional filtering algorithms and has less computation time than iterative blind deconvolution algorithm.

关 键 词：color image restoration support vector regression （SVR） color space 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP181[自动化与计算机技术—计算机科学与技术]