Images are often corrupted by noise. For visual quality as well as for satisfactory extraction of important features from the images, denoising of the images is necessary. It is an unavoidable pre-processing step for many applications such as image compression, segmentation, identification, fusion, object recognition etc. Many successful algorithms have been proposed over the past few decades for image denoising. A recent development in this area of research is the use of multiresolution principles. Wavelet decomposition and denoising are milestones in multiresolution image signal processing. In this paper, multiresolution singular value decomposition is proposed as a new method for denoising of images. The new algorithm and its implementation using MATLAB is presented. Results show that it is a good method for image denoising.
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