Lossless to Lossy Dual-Tree BEZW Compression for Hyperspectral Images

This paper proposes a lossless to lossy compression scheme for hyperspectral images based on dual-tree Binary Embedded Zerotree Wavelet (BEZW) algorithm. The algorithm adapts Karhunen-Loève Transform and Discrete Wavelet Transform to achieve 3-D integer reversible hybrid transform and decorrelate s...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing Jg. 52; H. 9; S. 5765 - 5770
Hauptverfasser:	Kai-jen Cheng, Dill, Jeffrey
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.09.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Approximation methods Coding Compaction Discrete wavelet transforms Embedded zerotree wavelet (EZW) hyperspectral images Hyperspectral imaging Image coding Image compression Infrared imaging Karhunen-Loève transform (KLT) Lossless matrix factorization predictive coding Set Partitioning in Hierarchical Trees (SPIHT) Spectrometers Three dimensional transform-based coding Transforms wavelet transform matrix factorization Karhunen¿Loève transform (KLT) predictive coding Embedded zerotree wavelet (EZW) transform-based coding wavelet transform Set Partitioning in Hierarchical Trees (SPIHT) hyperspectral images
ISSN:	0196-2892, 1558-0644
Online-Zugang:	Volltext
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