An efficient image representation technique using vector quantization in multiple transform domains

    Authors

    W. B. Mikhael;P. Ragothaman

    Comments

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

    Abbreviated Journal Title

    Circuits Syst. Signal Process.

    Keywords

    image compression; image coding; image representation; split vector; quantization; multiple transform domains; multiple bases; transform; coding; COMPRESSION; ALGORITHMS; Engineering, Electrical & Electronic

    Abstract

    A novel technique for the efficient representation of still images is presented which employs vector quantization in multiple transform domains of the image signal. The system projects the subimages, obtained by partitioning the images used for training, into multiple transform domains. Energy-based split vector quantization is used to form code books in each of these domains. An adaptive algorithm to further optimize the accuracy of the code books in each transform domain is also developed. Simulations using sample images show that this scheme provides improved reconstruction quality over existing methods for the same compression ratios, or equivalently, employing the proposed technique, fewer bits per pixel are used for the same reconstruction quality. This is achieved at the expense of increased computation at the encoder. The benefits from the improved representation efficiency often outweigh the increased computational complexity.

    Journal Title

    Circuits Systems and Signal Processing

    Volume

    24

    Issue/Number

    1

    Publication Date

    1-1-2005

    Document Type

    Article

    Language

    English

    First Page

    19

    Last Page

    33

    WOS Identifier

    WOS:000227820300002

    ISSN

    0278-081X

    Share

    COinS