Biorthogonal wavelets applied to meterological satellite images (METEOSAT) image compressing

Margarete O. Domingues; Sonia M. Gomes; Elsa Cortina

doi:10.1117/12.205436

6 April 1995 Biorthogonal wavelets applied to meterological satellite images (METEOSAT) image compressing

Margarete O. Domingues, Sonia M. Gomes, Elsa Cortina

Proceedings Volume 2491, Wavelet Applications II; (1995) https://doi.org/10.1117/12.205436
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

Margarete O. Domingues, Sonia M. Gomes, and Elsa Cortina "Biorthogonal wavelets applied to meterological satellite images (METEOSAT) image compressing", Proc. SPIE 2491, Wavelet Applications II, (6 April 1995); https://doi.org/10.1117/12.205436

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