An efficient structure and algorithm for image representation using nonorthogonal basis images

    Authors

    A. P. Berg;W. B. Mikhael

    Comments

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

    Abbreviated Journal Title

    IEEE Trans. Circuits Syst. II-Analog Digit. Signal Process.

    Keywords

    mixed transforms; nonorthogonal representation; transform coding; SPEECH; Engineering, Electrical & Electronic

    Abstract

    This paper presents a new recursive parallel mixed transform technique employing a projection algorithm for image representation, Image coders which employ subsets of nonorthogonal basis images chosen from two or more transform domains have been shown to consistently yield higher image quality than those based on one transform for a fixed compression ratio, However, these techniques have not been widely employed since existing formulations have either lacked rigorous development or suffered from high computational complexity and convergence problems, The algorithm presented herein overcomes these limitations, The algorithm is rigorously formulated, conditions for convergence are derived, and computational considerations are examined. Results of simulations are presented which demonstrate excellent performance in terms of energy compaction.

    Journal Title

    Ieee Transactions on Circuits and Systems Ii-Analog and Digital Signal Processing

    Volume

    44

    Issue/Number

    10

    Publication Date

    1-1-1997

    Document Type

    Article

    Language

    English

    First Page

    818

    Last Page

    828

    WOS Identifier

    WOS:A1997YK21300005

    ISSN

    1057-7130

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