Current contrast enhancement algorithms sometimes come with undesired drawbacks, like the loss of tiny details, enhancement of image noise, occasional over-enhancement, and unnatural look of the processed images. In this paper, we propose a new approach for contrast enhancement based on the use of a so-called intensity-pair distribution. This distribution possesses both local information and global information of the image content. By analyzing the content of intensity-pair distribution, a set of expansion forces are generated for contrast enhancement while another set of anti-expansion forces are generated to suppress image noise. To avoid over-enhancement and preserve the natural look of the processed images, a magnitude mapping function is also proposed. Experimental results show that the proposed algorithm does provide a flexible and reliable way for contrast enhancement.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Image contrast enhancement based on intensity-pair distribution


    Contributors:


    Publication date :

    2005-01-01


    Size :

    368139 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Image Contrast Enhancement Based on Intensity-Pair Distribution

    Jen, T.-C. / Hsieh, B. / Wang, S.-J. | British Library Conference Proceedings | 2005


    Image contrast enhancement based on the generalized histogram

    Yoon, B.-W. / Song, W.-J. | British Library Online Contents | 2007



    Contrast Enhancement via Image Evolution Flows

    Sapiro, G. / Caselles, V. | British Library Online Contents | 1997


    A Comprehensive Approach to Image-Contrast Enhancement

    Carbonaro, A. / Zingaretti, P. / IEEE | British Library Conference Proceedings | 1999