1 November 1989 Subband Coding Of Images Using Singular Value Decomposition (S V D)*
Author Affiliations +
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.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tian-Hu Yu, 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); doi: 10.1117/12.970134; https://doi.org/10.1117/12.970134
PROCEEDINGS
11 PAGES


SHARE
Back to Top