The adaptive switching mean filter is proposed to remove impulse noise from the corrupted image. The proposed filter first identifies the noise pixels using the morphological noise detector and then removes the detected impulses using the adaptive trimmed mean filter. Simulation results show that the proposed filter can realize the accurate noise detection and it can suppress impulse noise effectively while preserving details in the image very well, thus providing significantly better restoration performance than the traditional median filter and numerous well known switching-based filters.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Adaptive Switching Mean Filter for Impulse Noise Removal


    Contributors:


    Publication date :

    2008-05-01


    Size :

    1893312 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Quaternion based switching filter for impulse noise removal in color images

    Xin, G. / Xiaoguang, H. | British Library Online Contents | 2012


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

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



    Impulse Noise Filter with adaptive Mad-Based Threshold

    Crnojevic, V. | British Library Conference Proceedings | 2005