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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Druckformat: 1064-2315
ISSN Online: 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

ABSTRAKT

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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