DocumentCode :
862407
Title :
Vector-lifting schemes for lossless coding and progressive archival of multispectral images
Author :
Benazza-Benyahia, Amel ; Pesquet, Jean-Christophe ; Hamdi, Mohamed
Author_Institution :
Departement Mathematiques Appliquees, Ecole Superieure des Commun. de Tunis, Ariana, Tunisia
Volume :
40
Issue :
9
fYear :
2002
fDate :
9/1/2002 12:00:00 AM
Firstpage :
2011
Lastpage :
2024
Abstract :
In this paper, a nonlinear subband decomposition scheme with perfect reconstruction is proposed for lossless and progressive coding of multispectral images. The merit of this new scheme is to exploit efficiently the spatial and the spectral redundancies contained in the multispectral images related to a scene of interest. Besides, the proposed method is suitable for telebrowsing applications. Experiments carried out on real scenes allow to assess its performances. The simulation results demonstrate that our approach leads to improved compression performances compared with currently used lossless coders.
Keywords :
geophysical signal processing; image coding; nonlinear filters; terrain mapping; two-dimensional digital filters; compression performances; lossless coding; multispectral images; nonlinear subband decomposition scheme; progressive archival; progressive coding; spatial redundancies; spectral redundancies; telebrowsing; vector-lifting schemes; Heart rate variability; High-resolution imaging; Image coding; Image resolution; Instruments; Layout; Multispectral imaging; Optical imaging; Remote sensing; Satellites;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2002.803845
Filename :
1046851
Link To Document :
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