Title
An adaptive multiresolution-based multispectral image compression method
Abstract
This paper deals with the problem of multispectral image compression. In particular, we propose to substitute the built-in JPEG 2000 wavelet transform by an adequate multiresolution analysis that we devise within the Lifting-Scheme framework. We compare the proposed method to the classical wavelet transform within both multi-2D and full- 3D compression strategies. The two strategies are combined with a PCA decorrelation stage to optimize their performance. For a consistent evaluation, we use a framework gathering four families of metrics including the largely used PSNR. Good results have been obtained showing the appropriateness of the proposed approach especially for images with large dimensions.
Year
DOI
Venue
2010
10.1007/978-3-642-13681-8_7
ICISP
Keywords
Field
DocType
multispectral image compression,compression strategy,compression method,built-in jpeg,consistent evaluation,lifting-scheme framework,classical wavelet,adequate multiresolution analysis,adaptive multiresolution-based multispectral image,pca decorrelation stage,lifting scheme,wavelet transform,multiresolution analysis,multispectral images
Computer vision,Pattern recognition,Computer science,Multiresolution analysis,Second-generation wavelet transform,Artificial intelligence,Discrete wavelet transform,JPEG 2000,Stationary wavelet transform,Image compression,Wavelet,Wavelet transform
Conference
Volume
Issue
ISSN
3
4
2233-7857
ISBN
Citations 
PageRank 
3-642-13680-X
1
0.41
References 
Authors
7
4
Name
Order
Citations
PageRank
Jonathan Delcourt191.72
Alamin Mansouri213722.29
Tadeusz Sliwa3113.80
Yvon Voisin46512.66