A class-conditioned lossless wavelet-based predictive multispectral image compressor
We present a nonlinear lossless compressor designed for multispectral images consisting of few bands and having greater spatial than spectral correlation. Our compressor is based on a 2-D integer wavelet transform that reduces spatial correlation. Different models for the statistical dependences of...
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_1545598X_v7_n1_p166_Ruedin |
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todo:paper_1545598X_v7_n1_p166_Ruedin2023-10-03T16:23:02Z A class-conditioned lossless wavelet-based predictive multispectral image compressor Ruedin, A. Acevedo, D. Classification Lossless compression Multispectral Prediction Wavelet coefficients Arithmetic coders Band ordering Detail coefficients Integer wavelet transforms Lossless Lossless compression Multi-spectral Multispectral images New mechanisms Prediction errors Random access Spatial correlations Spectral correlation Statistical dependence Volumetric data Wavelet coefficients Compressors Forecasting Image compression Volumetric analysis Wavelet transforms We present a nonlinear lossless compressor designed for multispectral images consisting of few bands and having greater spatial than spectral correlation. Our compressor is based on a 2-D integer wavelet transform that reduces spatial correlation. Different models for the statistical dependences of wavelet detail coefficients are analyzed and tested to perform linear inter/intraband predictions. Band, class, scale, and orientation are used as conditioning contexts to calculate predictions, as well as to encode prediction errors with an adaptive arithmetic coder. A new mechanism is proposed for band ordering, based on wavelet fine detail coefficients. Our compressor CLWP outperforms state-of-the-art lossless compressors. It has random access capability and can be applied to compress volumetric data having similar characteristics. © 2009 IEEE. Fil:Ruedin, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Acevedo, D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_1545598X_v7_n1_p166_Ruedin |
| institution |
Universidad de Buenos Aires |
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I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Classification Lossless compression Multispectral Prediction Wavelet coefficients Arithmetic coders Band ordering Detail coefficients Integer wavelet transforms Lossless Lossless compression Multi-spectral Multispectral images New mechanisms Prediction errors Random access Spatial correlations Spectral correlation Statistical dependence Volumetric data Wavelet coefficients Compressors Forecasting Image compression Volumetric analysis Wavelet transforms |
| spellingShingle |
Classification Lossless compression Multispectral Prediction Wavelet coefficients Arithmetic coders Band ordering Detail coefficients Integer wavelet transforms Lossless Lossless compression Multi-spectral Multispectral images New mechanisms Prediction errors Random access Spatial correlations Spectral correlation Statistical dependence Volumetric data Wavelet coefficients Compressors Forecasting Image compression Volumetric analysis Wavelet transforms Ruedin, A. Acevedo, D. A class-conditioned lossless wavelet-based predictive multispectral image compressor |
| topic_facet |
Classification Lossless compression Multispectral Prediction Wavelet coefficients Arithmetic coders Band ordering Detail coefficients Integer wavelet transforms Lossless Lossless compression Multi-spectral Multispectral images New mechanisms Prediction errors Random access Spatial correlations Spectral correlation Statistical dependence Volumetric data Wavelet coefficients Compressors Forecasting Image compression Volumetric analysis Wavelet transforms |
| description |
We present a nonlinear lossless compressor designed for multispectral images consisting of few bands and having greater spatial than spectral correlation. Our compressor is based on a 2-D integer wavelet transform that reduces spatial correlation. Different models for the statistical dependences of wavelet detail coefficients are analyzed and tested to perform linear inter/intraband predictions. Band, class, scale, and orientation are used as conditioning contexts to calculate predictions, as well as to encode prediction errors with an adaptive arithmetic coder. A new mechanism is proposed for band ordering, based on wavelet fine detail coefficients. Our compressor CLWP outperforms state-of-the-art lossless compressors. It has random access capability and can be applied to compress volumetric data having similar characteristics. © 2009 IEEE. |
| format |
JOUR |
| author |
Ruedin, A. Acevedo, D. |
| author_facet |
Ruedin, A. Acevedo, D. |
| author_sort |
Ruedin, A. |
| title |
A class-conditioned lossless wavelet-based predictive multispectral image compressor |
| title_short |
A class-conditioned lossless wavelet-based predictive multispectral image compressor |
| title_full |
A class-conditioned lossless wavelet-based predictive multispectral image compressor |
| title_fullStr |
A class-conditioned lossless wavelet-based predictive multispectral image compressor |
| title_full_unstemmed |
A class-conditioned lossless wavelet-based predictive multispectral image compressor |
| title_sort |
class-conditioned lossless wavelet-based predictive multispectral image compressor |
| url |
http://hdl.handle.net/20.500.12110/paper_1545598X_v7_n1_p166_Ruedin |
| work_keys_str_mv |
AT ruedina aclassconditionedlosslesswaveletbasedpredictivemultispectralimagecompressor AT acevedod aclassconditionedlosslesswaveletbasedpredictivemultispectralimagecompressor AT ruedina classconditionedlosslesswaveletbasedpredictivemultispectralimagecompressor AT acevedod classconditionedlosslesswaveletbasedpredictivemultispectralimagecompressor |
| _version_ |
1782028879539470336 |