An obvious approach to image enhancement is to sharpen bright regions of an image more than darker regions. One very simple method to accomplish this is to weight the amount of highpass filtering proportional to the local mean. This gives rise to a class of nonlinear image enhancement filters known as mean-weighted highpass filters. We propose a general framework for studying a class of weighted highpass filters. Our framework, based on a multiscale signal decomposition, allows us to study a wide class of filters and to assess the merits of each. We derive an automatic procedure to optimally tune a filter to the local structure of the image under consideration. The entire algorithm is fully automatic and requires no parameter specification from the user. Several simulations demonstrate the efficacy of the proposed algorithm.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Optimally weighted highpass filters using multiscale analysis


    Beteiligte:
    Nowak, R.D. (Autor:in) / Baraniuk, R.G. (Autor:in)


    Erscheinungsdatum :

    01.01.1996


    Format / Umfang :

    703874 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Optimally Weighted Highpass Filters Using Multiscale Analysis

    Nowak, R. D. / Baraniuk, R. G. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1996


    Highpass Shopping Cart

    PARK JEA HYUN | Europäisches Patentamt | 2018

    Freier Zugriff


    Parking control system using highpass terminal

    CHUNG GUN WOO | Europäisches Patentamt | 2019

    Freier Zugriff

    Payment of a penalty using a highpass terminal

    KIM YU JIN | Europäisches Patentamt | 2019

    Freier Zugriff