Image Denoising Based on Its Sparse Decomposition

Image denoising method based on image sparse decomposition is different from the traditional image denoising methods. In this method, image corrupted by noise is decomposed into two parts. One part is the image sparse components which are related to image information. Another part, which remains after the image sparse components are subtracted from the image, is regarded as noise. Image can be denoised by reconstructing image only with its sparse components. Experimental results show the good performance of this method.