GenLOT optimization techniques for seismic data compression

Author

Duval, Laurent G. ; Bui-Tran, Van ; Nguyen, Truong Q. ; Tran, Trac D.

Author_Institution

Inst. Francais du Petrole, Rueil-Malmaison, France

Volume

6

fYear

2000

fDate

2000

Firstpage

2111

Abstract

GenLOT coding has been shown an effective technique for seismic data compression, especially when compared to block-based algorithms (such as JPEG), or to wavelets. The transforms remove statistical redundancy and permit efficient compression, when used with advanced encoding techniques, such as the embedded zerotree coding framework. We derive a model for seismic data based on auto-regressive processes. This model is used to design GenLOT filter banks optimized for seismic data, using objective optimization criteria.

Keywords

autoregressive processes; channel bank filters; data compression; filtering theory; geophysical signal processing; optimisation; seismology; transform coding; wavelet transforms; GenLOT coding; GenLOT filter banks design; GenLOT optimization techniques; JPEG; auto-regressive processes; block-based algorithms; efficient compression; embedded zerotree coding; objective optimization criteria; seismic data compression; statistical redundancy; wavelets; Application software; Data compression; Design optimization; Filter bank; Frequency; Image coding; Image processing; Microwave integrated circuits; Transform coding; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.859252

Filename

859252