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