Image Coding using Markov Models with Hidden States

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearch

    171 Downloads (Pure)


    The Cylinder Partially Hidden Markov Model (CPH-MM) is applied to lossless coding of bi-level images. The original CPH-MM is relaxed for the purpose of coding by not imposing stationarity, but otherwise the model description is the same.
    Original languageEnglish
    Title of host publicationData Compression Conference, 1999. Proceedings. DCC '99
    Number of pages524
    Place of PublicationLos Alamitos, CA
    PublisherIEEE Computer Society Press
    Publication date1999
    ISBN (Print)0-7695-0096-X
    Publication statusPublished - 1999
    Event1999 IEEE Data Compression Conference - Snowbird, UT, United States
    Duration: 29 Mar 199931 Mar 1999


    Conference1999 IEEE Data Compression Conference
    CountryUnited States
    CitySnowbird, UT
    Internet address

    Bibliographical note

    Copyright 1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

    Fingerprint Dive into the research topics of 'Image Coding using Markov Models with Hidden States'. Together they form a unique fingerprint.

    Cite this