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Optical Engineering

Data compression by multiresolution tree search
Author(s): Chee-Hung Henry Chu
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Paper Abstract

Wavelet decomposition of data has been used with success in a large class of signal and image processing tasks. The wavelet packets representation is a decomposition that includes as a special case the wavelet transform. In this scheme, wavelet packets are assembled as a representation of the signal. There exist a large number of possible wavelet combinations for each signal. An adaptation scheme based on the genetic optimization method is presented for determining an optimal representation for data compression. Experiment results using real data as well as autoregressive random processes are used to compare the performance of the adapted packets and the wavelet transform.

Paper Details

Date Published: 1 July 1994
PDF: 7 pages
Opt. Eng. 33(7) doi: 10.1117/12.172251
Published in: Optical Engineering Volume 33, Issue 7
Show Author Affiliations
Chee-Hung Henry Chu, Univ. of Southwestern Louisiana (United States)


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