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Proceedings Paper

Comparison of wavelet image coding schemes for seismic data compression
Author(s): Anthony A. Vassiliou; Mladen Victor Wickerhouser
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Paper Abstract

Wavelet transform coding image compression is applied to two raw seismic data sets. The parameters of filter length, depth of decomposition, and quantization method are varied through 36 parameter settings and the rate-distortion relation is plotted and fitted with a line. The lines are compared to judge which parameter setting produces the highest quality for a given compression ratio on the sample data. It is found that long filters, moderate decomposition depths, and frequency-weighted, variance-adjusted quantization yield the best results.

Paper Details

Date Published: 30 October 1997
PDF: 9 pages
Proc. SPIE 3169, Wavelet Applications in Signal and Image Processing V, (30 October 1997); doi: 10.1117/12.279684
Show Author Affiliations
Anthony A. Vassiliou, Amoco EPTG (United States)
Mladen Victor Wickerhouser, Washington Univ. (United States)

Published in SPIE Proceedings Vol. 3169:
Wavelet Applications in Signal and Image Processing V
Akram Aldroubi; Andrew F. Laine; Michael A. Unser, Editor(s)

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