Paper Info
Title
Three-dimensional SPIHT coding of volume images with random access and resolution scalability
Abstract
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 medical images for a certain volume region of the subject's anatomy. High spatial resolution may be the ultimate requirement, but in many cases a lower resolution would suffice, especially when rapid acquisition and browsing are essential. This paper presents a major extension of the 3D-SPIHT (set partitioning in hierarchical trees) image compression algorithm that enables random access decoding of any specified region of the image volume at a given spatial resolution and given bit rate from a single codestream. Final spatial and spectral (or axial) resolutions are chosen independently. Because the image wavelet transform is encoded in tree blocks and the bit rates of these tree blocks are minimized through a rate-distortion optimization procedure, the various resolutions and qualities of the images can be extracted while reading a minimum amount of bits from the coded data. The attributes and efficiency of this 3D-SPIHT extension are demonstrated for several medical and hyperspectral images in comparison to the JPEG2000 Multicomponent algorithm.
Year
DOI
Venue
2008
10.1155/2008/248905
EURASIP J. Image and Video Processing
Keywords
Field
DocType
certain spatial area,tree block,volume image,bit rate,certain range,certain volume region,final spatial,resolution scalability,high spatial resolution,certain feature,three-dimensional spiht coding,random access,image compression algorithm,hyperspectral image,three dimensional
Computer vision,Pattern recognition,Set partitioning in hierarchical trees,Computer science,Hyperspectral imaging,Artificial intelligence,JPEG 2000,Data compression,Image resolution,Image compression,Wavelet transform,Random access
Journal
Volume
Issue
ISSN
2008,
1
1687-5281
Citations 
PageRank 
References 
8
1.00
20
Authors
2
Name
Order
Citations
PageRank
Emmanuel Christophe116613.83
William A. Pearlman245563.45