Median filter was once the most popular nonlinear filter for removing impulse noise because of its good denoising power. In this paper, we present a novel adaptive fuzzy median filter to the restoration of salt & pepper impulse noise-corrupted image, which is particularly effective at removing highly impulsive noise. First we estimate noise level based on fussy set theory, then process the corrupted pixel or extend the size of filtering window, at last get the appropriate median value to replace the noisy pixel. The proposed filter has the benefits that it is simple and it assumes no a priori knowledge of specific input image. To demonstrate the capability of our filtering approach, it was tested on several different image enhancement problems. Experimental results have shown that the proposed algorithm works very well not only for images with lower percentage of impulse noises but also with higher percentage of impulse noise.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Adaptive Fuzzy Median Filter for Images Corrupted by Impulse Noise


    Contributors:
    Zhou, Yan (author) / Tang, Quan-hua (author) / Jin, Wei-dong (author)


    Publication date :

    2008-05-01


    Size :

    2555750 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Algorithms for impulse noise removal from corrupted color images

    Kober, V. / Mozerov, M. / Ovseyevich, I. A. | British Library Online Contents | 2007


    Cascade window-based procedure for impulse noise removal in heavily corrupted images

    Awad, A.S. / Man, H. / Khashanah, K. | British Library Online Contents | 2010




    Binarized Switching Median Filter with Pre-Segmentation for Impulse Noise Removal

    Qin, P. / Ding, R. / IEEE | British Library Conference Proceedings | 2003