The paper proposes an improved fast and efficient decision-based algorithm for the restoration of images that are highly corrupted by Salt-and-Pepper noise. The new algorithm utilizes previously processed neighboring pixel values to get better image quality than the one utilizing only the just previously processed pixel value. The proposed algorithm is faster and also produces better result than a Standard Median Filter (SMF), Adaptive Median Filters (AMF), Cascade and Recursive non-linear filters. The proposed method removes only the noisy pixel either by the median value or by the mean of the previously processed neighboring pixel values. Different images have been tested by using the proposed algorithm (PA) and found to produce better PSNR and SSIM values.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Improved Decision-Based Algorithm for Impulse Noise Removal


    Beteiligte:
    Nair, Madhu S. (Autor:in) / Revathy, K. (Autor:in) / Tatavarti, Rao (Autor:in)


    Erscheinungsdatum :

    01.05.2008


    Format / Umfang :

    1663386 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Removal of Impulse Noise by Selective Filtering

    Sucher, R. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    Adaptive Switching Mean Filter for Impulse Noise Removal

    Zhang, Xuming / Yin, Zhouping / Xiong, Youlun | IEEE | 2008


    Quaternion based switching filter for impulse noise removal in color images

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


    Random impulse noise removal from image sequences based on fuzzy logic

    Melange, T. / Nachtegael, M. / Kerre, E.E. | British Library Online Contents | 2011


    Algorithms for impulse noise removal from corrupted color images

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