Title :
Lossless coding for progressive archival of multispectral images
Author :
Benazza-Benyahia, A. ; Pesquet, J.C. ; Hamdi, M.
Author_Institution :
Dept. MASC, SUP´´COM, Ariana, Tunisia
Abstract :
A nonlinear subband decomposition scheme with perfect reconstruction is proposed for lossless coding of multispectral images. The merit of this new scheme is to exploit efficiently both the spatial and the spectral redundancies contained in a multispectral image sequence. Besides, it is suitable for progressive coding, which constitutes a desirable feature for telebrowsing applications. Simulation tests performed on real scenes allow assessment of the performances of this new multiresolution coding algorithm. The achieved compression ratios are higher than those obtained with currently used lossless coders
Keywords :
data compression; geophysical signal processing; image coding; image reconstruction; image sequences; remote sensing; compression ratios; image archive storage; image recovery; image sequences; meteorology; multispectral lossless image coding; nonlinear subband decomposition scheme; perfect reconstruction; progressive coding; progressive reconstruction; remotely sensed images; spatial redundancy; spectral redundancy; target imaging; telebrowsing applications; terrain mapping applications; Image coding; Image reconstruction; Image sequences; Image storage; Layout; Multispectral imaging; Optical imaging; Performance evaluation; Spatial resolution; Testing;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.941295
