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 compr...
- Autores:
-
Fajardo Ariza, Carlos Augusto
Reyes Torres, Oscar Mauricio
Ramirez Silva, Ana Beatriz
- Tipo de recurso:
- Fecha de publicación:
- 2014
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- eng
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/5299
- Acceso en línea:
- http://hdl.handle.net/10784/5299
- Palabra clave:
- Transformadas de Wavelet
ALGORITMOS
PROSPECCIÓN SÍSMICA
PROSPECCIÓN GEOFÍSICA
PROCESAMIENTO DIGITAL DE IMÁGENES
Algorithms
Seismic prospecting
Prospecting - Geophysical methods
Image processing - Digital techniques
- Rights
- License
- openAccess
| Summary: | 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 the Wavelets 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 |
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