Compression techniques for still image and motion video

Leung S.O, K. L. Chan, P. W. Fung

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    3 Citations (Scopus)

    Abstract

    An enormous amount of data is produced when a two-dimensional light intensity function is sampled and quantized to create a digital image. For motion video, the amount of raw data generated is even much larger that practical storage, processing and communication systems are unable to accommodate. Data compression techniques have to be devised to reduce the bandwidth requirement. The objective of this projects is to develop compression technique for still image and motion video. Individual still image is compressed using the Joint Photographic Experts Group (JPEG) algorithm which is commonly employed recently. For full-motion video, the Motion Picture Experts Group (MPEG) algorithm is used. In addition, a novel idea to perform compression of still picture as well as image sequence is developed using the pyramidal approach.H
    Original languageEnglish
    Title of host publicationProceedings Tencon '93: 1993 IEEE Region 10 Conference on "Computer, Communication, Control and Power Engineering"
    PublisherIEEE
    Pages365-368
    ISBN (Print)780312333
    Publication statusPublished - 1993
    EventProceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5) - Beijing, China
    Duration: 19 Oct 199321 Oct 1993

    Conference

    ConferenceProceedings of the 1993 IEEE Region 10 Conference on Computer, Communication, Control aand Power Engineering. Part 3 (of 5)
    CityBeijing, China
    Period19/10/9321/10/93

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