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
fDate :
9/1/2002 12:00:00 AM
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;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2002.803845