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Proceedings Paper

Biorthogonal wavelets applied to meterological satellite images (METEOSAT) image compressing
Author(s): Margarete O. Domingues; Sonia M. Gomes; Elsa Cortina
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Paper Abstract

In this paper we develop fast numerical algorithms for representations of periodic functions in biorthogonal multiresolution analyses in two dimensions. We show that in the Fourier domain the decomposition and reconstruction algorithms have a matrix representation in terms of permutations and block diagonal matrices. We present some illustrative examples using biorthogonal spline wavelets applied to meteorological satellite images (METEOSAT) compression.

Paper Details

Date Published: 6 April 1995
PDF: 8 pages
Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); doi: 10.1117/12.205436
Show Author Affiliations
Margarete O. Domingues, Univ. de Campinas (Brazil)
Sonia M. Gomes, Univ. de Campinas (Brazil)
Elsa Cortina, DIGID (Argentina)


Published in SPIE Proceedings Vol. 2491:
Wavelet Applications II
Harold H. Szu, Editor(s)

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