Adaptive vector quantisation of non-orthogonal representations for image compression

    Authors

    W. B. Mikhael;P. Ragothaman

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Abbreviated Journal Title

    Electron. Lett.

    Keywords

    Engineering, Electrical & Electronic

    Abstract

    An efficient compression technique employing adaptive vector quantisation of multiple non-orthogonal transform domain representations of still images is developed. For each sub-image, the encoder selects a code from the domain that yields best representation. The performance improvement employing the proposed technique relative to existing single domain vector quantisation coding methods, for the same compression ratio, is obtained at the expense of increased computational complexity.

    Journal Title

    Electronics Letters

    Volume

    39

    Issue/Number

    2

    Publication Date

    1-1-2003

    Document Type

    Article

    Language

    English

    First Page

    200

    Last Page

    201

    WOS Identifier

    WOS:000181532400020

    ISSN

    0013-5194

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