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Title: Data compression with $\Sigma\Pi$-approximations based on splines (English)
Author: Baklanova, Olga E.
Author: Vasilenko, Vladimir A
Language: English
Journal: Applications of Mathematics
ISSN: 0862-7940 (print)
ISSN: 1572-9109 (online)
Volume: 38
Issue: 6
Year: 1993
Pages: 405-410
Summary lang: English
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Category: math
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Summary: The paper contains short description of $\Sigma\Pi$-algorithm for the approximation of the function with two independent variables by the sum of products of one-dimensional functions. Some realizations of this algorithm based on the continuous and discrete splines are presented here. Few examples concerning with compression in the solving of approximation problems and colour image processing are described and discussed. (English)
Keyword: data compression
Keyword: $\Sigma\Pi$-approximation
Keyword: B-splines
Keyword: colour image processing
Keyword: continuous and discrete splines
Keyword: red-green-blue colour images
Keyword: data compression
MSC: 41A15
MSC: 65D07
MSC: 68U10
idZBL: Zbl 0792.65003
idMR: MR1241444
DOI: 10.21136/AM.1993.104563
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Date available: 2008-05-20T18:46:17Z
Last updated: 2020-07-28
Stable URL: http://hdl.handle.net/10338.dmlcz/104563
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Reference: [1] V. A. Vasilenko: The best finite dimensional $\Sigma \Pi$-approximation.Sov. J. Num. Anal. Math. Mod. 5 (1990), no. 4/5, 435-443. MR 1122378
Reference: [2] W. A. Light E. W. Cheney: Approximation theory in tensor product spaces.Lectures Notes in Math., Springer Verlag, 1985. MR 0817984
Reference: [3] C. DeBoor: A practical guide to splines.Appl. Math. Sci. 27 (1978). 10.1007/978-1-4612-6333-3
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