Model-based smoothing for reducing artifacts in compressed images

Ju Jia Zou, Hong Yan

    Research output: Chapter in Book / Conference PaperConference Paperpeer-review

    3 Citations (Scopus)

    Abstract

    Blocking artifacts often appear in compressed images coded by the block discrete cosine transform. This paper presents a smoothing method for reducing those artifacts. The method is based on adjusting pixel intensities of a blocky image to values determined by a smooth model image. Certain points in the blocky image are selected to construct a triangular mesh. The mesh forms the model image. The adjusted image is further subject to a narrow quantization constraint. The method produces superior images in terms of subjective quality and objective quality when compared to existing methods. It is fast since no iterations are required.
    Original languageEnglish
    Title of host publicationProceedings of the 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing: Image & Multidimensional Signal Processing, Signal Processing Education, 6-10 April, 2003, Hong Kong Exhibition and Convention Centre, Hong Kong
    PublisherIEEE
    PagesIII-741-III-744
    Number of pages4
    ISBN (Print)780376633
    Publication statusPublished - 2003
    EventICASSP (Conference) -
    Duration: 22 May 2011 → …

    Publication series

    Name
    ISSN (Print)1520-6149

    Conference

    ConferenceICASSP (Conference)
    Period22/05/11 → …

    Keywords

    • coding theory
    • image processing
    • video compression

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