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Journal of Automation and Information Sciences
SJR: 0.238 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimer: 1064-2315
ISSN En ligne: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v33.i2.110
6 pages

High-Performance Generalized Walsh Slant-Transforms for Digital Images Compression

Lev A. Hnativ
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kyiv, Ukraine
Elena S. Shevchuk
V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine, Kyiv, Ukraine

RÉSUMÉ

We work out software support and carry out computer examination with the object of finding transforms with the highest efficiency and high compression ratio of digital images. We investigate a choice of the optimal number of slant vectors taking into account transforms characteristics (efficiency, compression ratio) and computational complexity of their fast algorithms.


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