Comparison of wavelet image coding schemes for seismic data compression

Anthony A. Vassiliou; Mladen Victor Wickerhouser

doi:10.1117/12.279684

30 October 1997 Comparison of wavelet image coding schemes for seismic data compression

Anthony A. Vassiliou, Mladen Victor Wickerhouser

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.

Citation Download Citation

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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