关键词: 椒盐噪声, 声检测, 模糊滤波

Abstract: A new adaptive fuzzy median filtering algorithm is proposed for the problem that traditional median filtering algorithm can’t protect the image detail very well, and that its performance will be in the sharp decline in dealing with high-density noise image. By comparing the gray value of the pixels and the mean gray value of the pixels in the filtering window, coefficient of the fuzzy filter is defined. By using this coefficient as the weight function, a new weighted median filter approach is proposed. The size of the window is adjusted automatically by detecting the presence of pixels that have gray value between the maximum gray value and the minimum gray value of the filtering window. The gray value of the pixels in the center of window which exceeds the maximum window is replaced with the mean of gray value of neighboring four pixels. Simulation results demonstrate the new algorithm has better image detail preservation and strong denoising ability.

Key words: salt and pepper noise, noise detection, fuzzy filter