Image coding is one of the most important technologies for what it is call multimedia revolution. The image coding implies a good representation of the images using the least quantity of bits. In order to ensure a good representation, the coder needs to capture significant information of an object of interest in a small description. To solve this problem, in this paper, we present a new lossy image coder which can preserve one of the most important cues of images: the textures. In order to show the ability of texture preserving lossy coder we present tests using typical images, and a comparison between wavelets and the new wavelet based contourlet transform is made. Finally, we present the results obtained using texture image statistics. Our experiments demonstrate that the decompressed images can be used efficiently in future texture processing or classifications tasks.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A New Texture Preserving Lossy Image Coder: A Comparison Using the Discrete Wavelet Transform and the Wavelet Based Contourlet Transform




    Erscheinungsdatum :

    01.09.2007


    Format / Umfang :

    951931 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Image Compression Algorithm Using Wavelet-Based Contourlet Transform

    Beibei, S. / Luping, X. / Wenfang, S. | British Library Online Contents | 2007


    Preliminary analysis of noisy image lossy compression by discrete atomic transform-based coder

    Viktor Makarichev / Bogdan Kovalenko / Vladimir Lukin | DOAJ | 2023

    Freier Zugriff


    Texture Classification Using Neural Networks and Discrete Wavelet Transform

    Schumacher, P. / Zhang, J. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    Hybrid discrete cosine transform-discrete wavelet transform for progressive image compression

    Boukaache, A. / Doghmane, N. | British Library Online Contents | 2012