New Efficient Fuzzy Weighted Mean Filter Approach for Removal of Mixed Noise
Daoxiang Gao · Jisuanji fangzhen · 2007
A new efficient fuzzy weighted mean filter approach to the restoration of images corrupted by mixed noise was proposed. The coefficient of the proposed method can be varied adaptively based on degree of mixed noise by designing a T-S model based on differences between pixels in the window. Finally, the values of the processed pixel can be calculated. The proposed method can reduce the influences of noise pixels effectively by adjusting the coefficient and improve the filtering performance greatly. Simulation results based on Matlab show that the proposed method can be applied to many different types of image and preserve the integrity of edge and detail information and remove mixed noise effectively.