High quality image compression algorithms are capable of achieving transmission or storage rates of 0.5 to 1.0 bits/pixel with low degradation in image quality. In order to obtain even lower bit rates, the authors relax the usual rms error definition of image quality and allow certain "less critical" portions of the image to be transmitted as texture models. These regions are then reconstructed at the receiver with statistical fidelity in the mid- to high-range spatial frequencies and absolute fidelity in the low-pass frequency range. This hybrid spectral texture modeling technique takes place in the discrete wavelet transform domain. In this way, the authors obtain natural spectral texture models and avoid the boundary blending problems usually associated with polygonal modeling.<>


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Wavelet-domain texture modeling for image compression


    Beteiligte:
    Ryan, T.W. (Autor:in) / Sanders, L.D. (Autor:in) / Fisher, H.D. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    424474 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Wavelet-Domain Texture Modeling for Image Compression

    Ryan, T. W. / Sanders, L. D. / Fisher, H. D. et al. | British Library Conference Proceedings | 1994


    Adaptive SAR Image Compression in Wavelet Domain

    Benz, U.C. / Fischer, J. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2000

    Freier Zugriff

    Wavelet Image Compression

    Pearlman, William A. | TIBKAT | 2013


    Image Texture Classification Using Exponential Curve Fitting of Wavelet Domain Singular Values

    Ramakrishnan, S. / Selvan, S. / Visual Information Engineering Network (Institution of Engineering and Technology) | British Library Conference Proceedings | 2006


    Boundary refinements for wavelet-domain multiscale texture segmentation

    Mor, E. / Aladjem, M. | British Library Online Contents | 2005