Adaptive Mean Filtering Algorithm for Image Denoising
Image denoising is one of the important steps in image processing and recognition,and directly determines the quality of image processing and recognition.This paper proposed a spatial domian filtering algorithm for image denoising,adaptive averaging filtering algorithm-AAFA.In AAFA,the coefficients of local window(mask coefficients) are calculated according to the gray-scale and spatial relationship between the central pixel and the other neighboring pixels in the current local window,i.e.,computation of gray-scale averaging value of central pixel in local window considers both gray value difference and spatial distance between the central pixel and the other neighboring pixels in current local window.Experimental results show that the proposed algorithm has better denoising performance than conventional spatial domain mean filtering algorithm and other averaging filtering algorithm.