Subband Coding Of Images Using Singular Value Decomposition (S V D)*

Tian-Hu Yu; Sanjit K. Mitra

doi:10.1117/12.970134

1 November 1989 Subband Coding Of Images Using Singular Value Decomposition (S V D)*

Tian-Hu Yu, Sanjit K. Mitra

Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970134
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

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.

Citation Download Citation

Tian-Hu Yu and Sanjit K. Mitra "Subband Coding Of Images Using Singular Value Decomposition (S V D)*", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970134

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