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30 October 1997 Comparison of wavelet image coding schemes for seismic data compression
Anthony A. Vassiliou, Mladen Victor Wickerhouser
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Proceedings Volume 3169, Wavelet Applications in Signal and Image Processing V; (1997) https://doi.org/10.1117/12.279684
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Anthony A. Vassiliou and Mladen Victor Wickerhouser "Comparison of wavelet image coding schemes for seismic data compression", Proc. SPIE 3169, Wavelet Applications in Signal and Image Processing V, (30 October 1997); https://doi.org/10.1117/12.279684
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