IMPULSE NOISE REMOVAL IN COLOR IMAGES USING FUZZY LOGIC

Abstract

In this project impulse noise reduction method for color images is presented. Color images that are corrupted with impulse noise are generally filtered by applying a gray scale algorithm on each color component separately or using a vector-based approach where each pixel is considered as a single vector. The first approach causes artifacts especially on edge and texture pixels. Vector-based method were successfully introduced to overcome this performance while much less artifacts are introduced. The main difference between the proposed method and other classical noise reduction methods is that the correlated color information id taken into account to develop a) A better impulse noise detection method. b) A noise reduction method that filters only the corrupted pixels while preserving the color and the edge sharpness. Experimental results show that the proposed problem. Nevertheless, they tend to cluster the noise and to receive a lower noise reduction performance. In this project, w...