In this paper, a weighted-fitting-based adaptive method is proposed to smooth images. It is shown both theoretically and experimentally that the proposed method can preserve both edges and corners while it suppresses noise effectively. Compared to the multiresolution adaptive filtering which only adjusts its filter size, the new method can change both the filter size and the filter shape adaptively so that it can smooth complex images effectively. Compared to the recursive adaptive filtering which is computationally expensive and needs to determine the recursive number, the proposed method does not need any input parameter and is computationally efficient.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Weighted-fitting-based adaptive filtering of images


    Contributors:


    Publication date :

    1995-01-01


    Size :

    689264 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    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


    Algorithm of adaptive morphological filtering of images

    Falomkin, I. I. / Pyt’ev, Y. P. | British Library Online Contents | 2007


    Algorithm of adaptive morphological filtering of images

    Falomkin, I. I. / Pyt’ev, Y. P. | British Library Online Contents | 2007


    Automatic segmentation of MR images based on adaptive anisotropic filtering

    Ardizzone, E. / Pirrone, R. / Gambino, O. | IEEE | 2003