Abstract
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.
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