In this paper a novel nonlinear anisotropic diffusion filter model based on statistic-local open system is proposed. In impulse noise removal using the new model, only estimated noised pixels are processed, unnecessary blurring caused by pure pixels energy diffusion can be reduced. In the new filter model, some pixels are devised as "origin" pixels and "convergence" pixels to make up energy loss and eradicate noise energy. And a newly designed conduction coefficient is adopted to avoid energy flow from noised neighbor pixels. We test the performance in unipolar and bipolar impulse noise removal respectively and compare filtering effect using P-M, Catte, Median and proposed filter. Experimental results demonstrate the improvement in noise removal and edge preservation.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Noise Removal Using Nonlinear Anisotropic Diffusion Filtering Based on Statistic-Local Open System


    Contributors:
    Wu, Weixin (author) / Liu, Hongchen (author)


    Publication date :

    2008-05-01


    Size :

    1345225 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Image noise removal approach based on subpixel anisotropic diffusion

    Guo, Y. / Cheng, H.-D. | British Library Online Contents | 2012


    Robust Lee local statistic filter for removal of mixed multiplicative and impulse noise [5298-32]

    Ponomarenko, N. N. / Lukin, V. V. / Egiazarian, K. O. et al. | British Library Conference Proceedings | 2004


    An Anisotropic Fourth-Order Diffusion Filter for Image Noise Removal

    Hajiaboli, M. R. | British Library Online Contents | 2011


    Two-stage radar image despeckling based on local statistic Lee and sigma filtering [4304-16]

    Lukin, V. V. / Ponomarenko, N. N. / Alekseyev, L. Y. et al. | British Library Conference Proceedings | 2001


    Nonlinear vector filtering for impulsive noise removal from color images

    Celebi, M.E. / Kingravi, H.A. / Aslandogan, Y.A. | British Library Online Contents | 2007