In this paper we will focus on color problems which occur if we utilize MSR as an image processing technique, and propose a modified Luminance Based MSR (LB_MSR) algorithm. There are two novelties in our algorithm. Firstly, we only process the luminance channel which is obtained by principal component analysis (PCA). PCA provides orthogonality between channels, thus allow the color to remain stable despite the modification of luminance. Secondly, we just add the convolution results of different scales instead of multiplying the convolution results of each color value and the different scale Gaussian. In this way, the color noise in the shadow/dark areas can be suppressed.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Luminance Based MSR for Color Image Enhancement


    Beteiligte:
    Sun, Bo (Autor:in) / Tao, Wenjing (Autor:in) / Chen, Weifang (Autor:in) / Li, Hongyu (Autor:in) / Li, Jiang (Autor:in) / Guo, Wei (Autor:in)


    Erscheinungsdatum :

    01.05.2008


    Format / Umfang :

    606581 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Modified Luminance Based MSR for Fast and Efficient Image Enhancement

    Tao, L. / Asari, V. | British Library Conference Proceedings | 2004


    Color rolling suppression algorithm considering luminance and color constancy

    Oh, H.M. / Chang, J. / Kang, B.H. et al. | British Library Online Contents | 2011