Color-tone similarity of digital images

Hisakazu Kikuchi, S. Kataoka, S. Muramatsu, Heikki Huttunen

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    5 Citations (Scopus)

    Abstract

    A color-tone similarity index (CSIM) between two color images is presented. CSIM is defined by a statistical analysis of cumulative histograms in a hue-oriented color space. It characterizes the color distributions, while the existing structural similarity index reflects the spatial structure involved with grayscale images. The behaviors of CSIM are checked by the comparisons of color code chips. Through an image quality assessment on TID2008, the correlation between CSIM and the mean opinion score was proved to be statistically significant.

    Original languageEnglish
    Title of host publication2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings
    Pages393-397
    Number of pages5
    DOIs
    Publication statusPublished - 2013
    Publication typeA4 Article in conference proceedings
    Event2013 20th IEEE International Conference on Image Processing, ICIP 2013 - Melbourne, VIC, Australia
    Duration: 15 Sept 201318 Sept 2013

    Conference

    Conference2013 20th IEEE International Conference on Image Processing, ICIP 2013
    Country/TerritoryAustralia
    CityMelbourne, VIC
    Period15/09/1318/09/13

    Keywords

    • Image analysis
    • IQA
    • similarity
    • SSIM

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition

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