Reduction of interband correlation for landsat image compression

We present a lossless compressor for multispectral images that exploits interband correlations. Each band is divided into blocks, to which a wavelet transform is applied. The wavelet coefficients are predicted by means of a linear combination of coefficients belonging to the same orientation and spa...

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Detalles Bibliográficos
Autores principales:	Acevedo, D.G., Ruedin, A.M.C.
Formato:	CONF
Materias:	Linear combination Spatial location Spectral bands Wavelet coefficients Error detection Image analysis Image coding Image quality Wavelet transforms Image compression
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_15301834_v2005_n_p390_Acevedo
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	todo:paper_15301834_v2005_n_p390_Acevedo
record_format	dspace
spelling	todo:paper_15301834_v2005_n_p390_Acevedo2023-10-03T16:21:13Z Reduction of interband correlation for landsat image compression Acevedo, D.G. Ruedin, A.M.C. Linear combination Spatial location Spectral bands Wavelet coefficients Error detection Image analysis Image coding Image quality Wavelet transforms Image compression We present a lossless compressor for multispectral images that exploits interband correlations. Each band is divided into blocks, to which a wavelet transform is applied. The wavelet coefficients are predicted by means of a linear combination of coefficients belonging to the same orientation and spatial location. The prediction errors are then encoded with an entropy - based coder. Our original contributions are i) the inclusion, among the candidates for prediction, of coefficients of the same location from other spectral bands, ii) the calculation of weights tuned to the landscape being processed, iii) a fast block classification and a different band-ordering for each landscape. Our compressor reduces the size of an image to about a fourth of its original size. Our method is equivalent to LOCO-I, on 3 of the images tested it was superior. It is superior to other lossless compressors: WinZip, JPEG2000 and PNG. © 2005 IEEE. Fil:Acevedo, D.G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Ruedin, A.M.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_15301834_v2005_n_p390_Acevedo
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Linear combination Spatial location Spectral bands Wavelet coefficients Error detection Image analysis Image coding Image quality Wavelet transforms Image compression
spellingShingle	Linear combination Spatial location Spectral bands Wavelet coefficients Error detection Image analysis Image coding Image quality Wavelet transforms Image compression Acevedo, D.G. Ruedin, A.M.C. Reduction of interband correlation for landsat image compression
topic_facet	Linear combination Spatial location Spectral bands Wavelet coefficients Error detection Image analysis Image coding Image quality Wavelet transforms Image compression
description	We present a lossless compressor for multispectral images that exploits interband correlations. Each band is divided into blocks, to which a wavelet transform is applied. The wavelet coefficients are predicted by means of a linear combination of coefficients belonging to the same orientation and spatial location. The prediction errors are then encoded with an entropy - based coder. Our original contributions are i) the inclusion, among the candidates for prediction, of coefficients of the same location from other spectral bands, ii) the calculation of weights tuned to the landscape being processed, iii) a fast block classification and a different band-ordering for each landscape. Our compressor reduces the size of an image to about a fourth of its original size. Our method is equivalent to LOCO-I, on 3 of the images tested it was superior. It is superior to other lossless compressors: WinZip, JPEG2000 and PNG. © 2005 IEEE.
format	CONF
author	Acevedo, D.G. Ruedin, A.M.C.
author_facet	Acevedo, D.G. Ruedin, A.M.C.
author_sort	Acevedo, D.G.
title	Reduction of interband correlation for landsat image compression
title_short	Reduction of interband correlation for landsat image compression
title_full	Reduction of interband correlation for landsat image compression
title_fullStr	Reduction of interband correlation for landsat image compression
title_full_unstemmed	Reduction of interband correlation for landsat image compression
title_sort	reduction of interband correlation for landsat image compression
url	http://hdl.handle.net/20.500.12110/paper_15301834_v2005_n_p390_Acevedo
work_keys_str_mv	AT acevedodg reductionofinterbandcorrelationforlandsatimagecompression AT ruedinamc reductionofinterbandcorrelationforlandsatimagecompression
_version_	1807323254065463296

Reduction of interband correlation for landsat image compression

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