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Proceedings Paper

Subband Coding Of Images Using Singular Value Decomposition (S V D)*
Author(s): Tian-Hu Yu; Sanjit K. Mitra
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Paper Abstract

The singular value decomposition method is proposed for the coding of the subband images generated via a two-dimensional (2-D) quadrature mirror filter analysis bank. This approach permits easy determination of the optimal bit allocation and by decomposing an image into singular vectors, a 2-D coding problem is transformed into a 1-D coding problem, for which a stable linear prediction algorithm exists. In addition, the determination of the SVD of subimages is much simpler than that of the original one, due to their considerably smaller sizes. Simulation results are presented to illustrate the performance characteristics of the proposed approach.

Paper Details

Date Published: 1 November 1989
PDF: 11 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970134
Show Author Affiliations
Tian-Hu Yu, University of California (United States)
Sanjit K. Mitra, University of California (United States)

Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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