Color Processing using Max-trees: A Comparison on Image Compression

Florence Tushabe, M.H.F. Wilkinson

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

    7 Citations (Scopus)
    455 Downloads (Pure)

    Abstract

    This paper proposes a new method of processing color images using mathematical morphology techniques. It adapts the Max-tree image representation to accommodate color and other vectorial images. The proposed method introduces three new ways of transforming the color image into a gray scale image that is filtered using conventional methods. Three new color reconstruction mechanisms are also proposed. The best method improves color fidelity by as much as 15%. The perfomance of six attribute filters are also compared on a jpeg compression operation.
    Original languageEnglish
    Title of host publicationSystems and Informatics (ICSAI), 2012 International Conference on
    PublisherIEEE (The Institute of Electrical and Electronics Engineers)
    Pages1374-1380
    Number of pages7
    ISBN (Electronic)9781467301992
    ISBN (Print)9781467301985
    Publication statusPublished - 2012
    Event2012 International Conference on Systems and Informatics (ICSAI 2012) - Yantai, China
    Duration: 12-May-201220-May-2012

    Conference

    Conference2012 International Conference on Systems and Informatics (ICSAI 2012)
    Country/TerritoryChina
    CityYantai
    Period12/05/201220/05/2012

    Keywords

    • Vectors
    • Morphology
    • Lattices
    • Image color analysis
    • Image coding
    • Colored noise
    • Color

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