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Image filtering based on SVD favors the denoising in the line (horizontal) and column (vertical) direction. Based on this property, a novel approach to improving the filtering efficiency of a noisy image is proposed in this paper. The new denoising method adapts shape and size of block to local orientation before performing SVD filtering. Through over-complete representation in overlap regions; the proposed method performs well in denoising and preserving image details. This new technique makes a contrast with some published denoising algorithms.