Seismic Data compression using 2D Lifting-Wavelet algorithms
Different seismic data compression algorithms have been developed in order to make the storage more efficient, and to reduce both the transmission time and cost. In general, those algorithms have three stages: transformation, quantization and coding. The Wavelet transform is highly used to compress...
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Format: | Article |
Language: | English |
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Universidad EAFIT
2015-01-01
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Series: | Ingeniería y Ciencia |
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Online Access: | http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/2561 |
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author | Carlos Augusto Fajardo Ariza Oscar Mauricio Reyes Torres Ana Beatriz Ramirez Silva |
author_facet | Carlos Augusto Fajardo Ariza Oscar Mauricio Reyes Torres Ana Beatriz Ramirez Silva |
author_sort | Carlos Augusto Fajardo Ariza |
collection | DOAJ |
description | Different seismic data compression algorithms have been developed in order to make the storage more efficient, and to reduce both the transmission time and cost. In general, those algorithms have three stages: transformation, quantization and coding. The Wavelet transform is highly used to compress seismic data, due to the capabilities of theWavelets on representing geophysical events in seismic data. We selected the lifting scheme to implement the Wavelet transform because it reduces both computational and storage resources. This work aims to determine how the transformation and the coding stages affect the data compression ratio. Several 2D lifting-based algorithms were implemented to compress three different seismic data sets. Experimental results obtained for different filter type, filter length, number of decomposition levels and coding scheme, are presented in this work. |
first_indexed | 2024-12-18T17:38:41Z |
format | Article |
id | doaj.art-40baf98549394ce089c2a8c73265eb76 |
institution | Directory Open Access Journal |
issn | 1794-9165 2256-4314 |
language | English |
last_indexed | 2024-12-18T17:38:41Z |
publishDate | 2015-01-01 |
publisher | Universidad EAFIT |
record_format | Article |
series | Ingeniería y Ciencia |
spelling | doaj.art-40baf98549394ce089c2a8c73265eb762022-12-21T20:59:15ZengUniversidad EAFITIngeniería y Ciencia1794-91652256-43142015-01-01112110.17230/ingciencia.11.21.112561Seismic Data compression using 2D Lifting-Wavelet algorithmsCarlos Augusto Fajardo Ariza0Oscar Mauricio Reyes TorresAna Beatriz Ramirez SilvaUniversidad Industrial de SantanderDifferent seismic data compression algorithms have been developed in order to make the storage more efficient, and to reduce both the transmission time and cost. In general, those algorithms have three stages: transformation, quantization and coding. The Wavelet transform is highly used to compress seismic data, due to the capabilities of theWavelets on representing geophysical events in seismic data. We selected the lifting scheme to implement the Wavelet transform because it reduces both computational and storage resources. This work aims to determine how the transformation and the coding stages affect the data compression ratio. Several 2D lifting-based algorithms were implemented to compress three different seismic data sets. Experimental results obtained for different filter type, filter length, number of decomposition levels and coding scheme, are presented in this work.http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/2561seismic data compressionwavelet transformlifting |
spellingShingle | Carlos Augusto Fajardo Ariza Oscar Mauricio Reyes Torres Ana Beatriz Ramirez Silva Seismic Data compression using 2D Lifting-Wavelet algorithms Ingeniería y Ciencia seismic data compression wavelet transform lifting |
title | Seismic Data compression using 2D Lifting-Wavelet algorithms |
title_full | Seismic Data compression using 2D Lifting-Wavelet algorithms |
title_fullStr | Seismic Data compression using 2D Lifting-Wavelet algorithms |
title_full_unstemmed | Seismic Data compression using 2D Lifting-Wavelet algorithms |
title_short | Seismic Data compression using 2D Lifting-Wavelet algorithms |
title_sort | seismic data compression using 2d lifting wavelet algorithms |
topic | seismic data compression wavelet transform lifting |
url | http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/2561 |
work_keys_str_mv | AT carlosaugustofajardoariza seismicdatacompressionusing2dliftingwaveletalgorithms AT oscarmauricioreyestorres seismicdatacompressionusing2dliftingwaveletalgorithms AT anabeatrizramirezsilva seismicdatacompressionusing2dliftingwaveletalgorithms |