Abstract | ||
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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 |
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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 Delcourt | 1 | 9 | 1.72 |
Alamin Mansouri | 2 | 137 | 22.29 |
Tadeusz Sliwa | 3 | 11 | 3.80 |
Yvon Voisin | 4 | 65 | 12.66 |