Aim at the problem that median filtering algorithm loses the detail information and border information, an adaptive weighted filtering algorithm based on image amalgamation is proposed in this paper. The algorithm firstly detects the impulsive noisy pixels, then the eight pixels around the noisy pixel are divided into four parts. Based on the amalgamation of the four parts, the weights are obtained self-adaptively. At last the noisy pixels are disposed according to the weights. The proposed algorithm are compared with the median filtering algorithm and other improved algorithm, experimental results show that the proposed algorithm has better ability of filtering and protecting the detail information, especially when the image is highly corrupted.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Adaptive weighted filtering algorithm for salt and pepper noise based on image amalgamation


    Beteiligte:
    Hao Yanling, (Autor:in) / Liang Yanfeng, (Autor:in) / Zhao Yuxin, (Autor:in) / Li Ning, (Autor:in)


    Erscheinungsdatum :

    01.12.2008


    Format / Umfang :

    2897192 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    An Effective Filtering Algorithm for Image Salt-Pepper Noises Based on Cellular Automata

    Liu, Songtao / Chen, Hongquan / Yang, Shaoqing | IEEE | 2008


    Weighted-fitting-based adaptive filtering of images

    Dongming Zhao / Bingcheng Li | IEEE | 1995


    Weighted-Fitting-Based Adaptive Filtering of Images

    Li, B. / Zhao, D. / IEEE; Computer Society; Technical Committee for Pattern Analysis and Machine Intelligence | British Library Conference Proceedings | 1995


    Estimation of salt-pepper noise in images in wavelet domain

    Tianyi, L. / Minghui, W. / Tao, L. et al. | British Library Online Contents | 2012