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...

Full description

Bibliographic Details
Main Authors: Carlos Augusto Fajardo Ariza, Oscar Mauricio Reyes Torres, Ana Beatriz Ramirez Silva
Format: Article
Language:English
Published: Universidad EAFIT 2015-01-01
Series:Ingeniería y Ciencia
Subjects:
Online Access:http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/2561
_version_ 1823999089117757440
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