Hyperspectral imaging is a powerful technique and hasbeen used in a large number of applications. However,it generates massively large image data sets. Accessand transport of these data sets will stress existingprocessing, storage and transmission capabilities. Anew embedded, block-based, wavelet transform codingalgorithm of low complexity is developed forhyperspectral image compression: Three-DimensionalSet Partitioned Embedded bloCK (3D-SPECK). 3D-SPECKefficiently encodes 3D volumetric hyperspectral imagedata by exploiting the dependencies in alldimensions. It can generate either SNR scalable orresolution scalable embedded bitstreams. It can alsogenerate ROI retrievable bitstreams.This bookintroduces 3D-SPECK and describes its technicaldetails. It is demonstrated that 3D-SPECK hasexcellent performance on hyperspectral image compression.
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Hyperspectral imaging is a powerful technique and has been used in a large number of applications. However, it generates massively large image data sets. Access and transport of these data sets will stress existing processing, storage and transmission capabilities. A new embedded, block-based, wavelet transform coding algorithm of low complexity is developed for hyperspectral image compression: Three-Dimensional Set Partitioned Embedded bloCK (3D-SPECK). 3D-SPECK efficiently encodes 3D volumetric hyperspectral image data by exploiting the dependencies in all dimensions. It can generate either SNR scalable or resolution scalable embedded bitstreams. It can also generate ROI retrievable bitstreams. This book introduces 3D-SPECK and describes its technical details. It is demonstrated that 3D-SPECK has excellent performance on hyperspectral image compression.
Dr. Xioali Tang was born in China. She received her Ph.D. degreefrom the Rensselaer Polytechnic Institute. She completedpostdoctoral training at the Massachusetts GeneralHospital/Harvard Medical School, and the University of Californiaat San Diego. Currently she is a faculty member with Universityof North Carolina.
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Hyperspectral imaging is a powerful technique and hasbeen used in a large number of applications. However,it generates massively large image data sets. Accessand transport of these data sets will stress existingprocessing, storage and transmission capabilities. Anew embedded, block-based, wavelet transform codingalgorithm of low complexity is developed forhyperspectral image compression: Three-DimensionalSet Partitioned Embedded bloCK (3D-SPECK). 3D-SPECKefficiently encodes 3D volumetric hyperspectral imagedata by exploiting the dependencies in alldimensions. It can generate either SNR scalable orresolution scalable embedded bitstreams. It can alsogenerate ROI retrievable bitstreams.This bookintroduces 3D-SPECK and describes its technicaldetails. It is demonstrated that 3D-SPECK hasexcellent performance on hyperspectral image compression. Nº de ref. del artículo: 9783639096910
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Taschenbuch. Condición: Neu. Wavelet Based Multi-Dimensional Image Coding Algorithms | 3D-SPECK | Xiaoli Tang | Taschenbuch | Kartoniert / Broschiert | Englisch | 2013 | VDM Verlag Dr. Müller | EAN 9783639096910 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. Nº de ref. del artículo: 105612435
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