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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Luminance Based MSR for Color Image Enhancement


    Contributors:
    Sun, Bo (author) / Tao, Wenjing (author) / Chen, Weifang (author) / Li, Hongyu (author) / Li, Jiang (author) / Guo, Wei (author)


    Publication date :

    2008-05-01


    Size :

    606581 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    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