Three-Dimensional SPIHT Coding of Volume Images with Random Access and Resolution Scalability

End users of large volume image datasets are often interested only in certain features that can be identified as quickly as possible. For hyperspectral data, these features could reside only in certain ranges of spectral bands and certain spatial areas of the target. The same holds true for volume m...

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Vydáno v:	EURASIP journal on image and video processing Ročník 2008; číslo 1; s. 1 - 13
Hlavní autoři:	Christophe, Emmanuel, Pearlman, WilliamA
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.01.2008 Springer Nature B.V SpringerOpen
Témata:	Biometrics Engineering Image Processing and Computer Vision Pattern Recognition Research Article Signal,Image and Speech Processing Image Dataset Image Compression Random Access Compression Algorithm Hyperspectral Image
ISSN:	1687-5176, 1687-5281
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