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

    ![CDATA[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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