Motivated by the fact that in images, there is usually a presence of local strongly oriented harmonics, a representation which is both well-localised in frequency and orientation is desirable to efficiently describe such oriented harmonic features. Here we introduce a family of multiscale trigonometric bases for a bi-variate function called the multiscale directional cosine bases for image denoising tasks. Our results show the promise of the new bases which almost consistently outperform other image representation bases on natural images.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Image denoising using multiscale directional cosine bases


    Beteiligte:
    Zhen Yao, (Autor:in) / Rajpoot, N. (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    263086 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Image Denoising using Multiscale Directional Cosine Bases

    Yao, Z. / Rajpoot, N. | British Library Conference Proceedings | 2005


    Image Denoising Using Directional Adaptive Variable Exponents Model

    Tiirola, J. | British Library Online Contents | 2017



    Estimate of Directional Spreading Parameters of a Cosine-2s Model

    Zhang, S. / Zhang, J. / American Society of Civil Engineers | British Library Conference Proceedings | 2005