Content layer progressive coding of digital maps

Søren Forchhammer, Ole Riis Jensen

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    Abstract

    A new lossless context based method is presented for content progressive coding of limited bits/pixel images, such as maps, company logos, etc., common on the WWW. Progressive encoding is achieved by separating the image into content layers based on other predefined information. Information from already coded layers are used when coding subsequent layers. This approach is combined with efficient template based context bi-level coding, context collapsing methods for multi-level images and arithmetic coding. Relative pixel patterns are used to collapse contexts. The number of contexts are analyzed. The new methods outperform existing coding schemes coding digital maps and in addition provide progressive coding. Compared to the state-of-the-art PWC coder, the compressed size is reduced to 60-70% on our layered test images.
    Original languageEnglish
    Title of host publicationProc. IEEE Data Compression Conf.
    PublisherIEEE
    Publication date2000
    Pages233-242
    ISBN (Print)0-7695-0592-9
    DOIs
    Publication statusPublished - 2000
    EventData Compression Conference 2000 - Snowbird, UT, United States
    Duration: 28 Mar 200030 Mar 2000
    http://www.informatik.uni-trier.de/~ley/db/conf/dcc/dcc2000.html

    Conference

    ConferenceData Compression Conference 2000
    Country/TerritoryUnited States
    CitySnowbird, UT
    Period28/03/200030/03/2000
    Internet address

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