A Variable Window Approach for Image Denoising

Several methods have been developed to enhance the performance of image denoising algorithms. In this letter we have developed an algorithm for image noise removal based on local adaptive window size/shape filtering. While rectangular windows are efficient, they yield poor results near object boundaries. We describe an efficient method for determining the variable size of the locally adaptive window using a region-based approach. A region including a denoising point is partitioned into disjoint subregions. The locally adaptive window for denoising is obtained by selecting the proper subregions. Our approach can be applied to several problems, including image restoration and visual correspondence. Comparison of the algorithm with the known techniques for noise removal from images shows the advantage of the new algorithm, both quantitatively and visually. Key-Words: -image, wavelet, variable window, noise reduction , bishrink, .