Title: Сompression for texture images in different basis functions using system criteria analysis
Authors: Babikov, A.Yu.
Voronin, V. V.
Ryzhov, V. P.
Ryzhov, Yu.V.
Citation: WSCG 2018: poster papers proceedings: 26th International Conference in Central Europe on Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 73-76.
Issue Date: 2018
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: wscg.zcu.cz/WSCG2018/!!_CSRN-2803.pdf
ISBN: 978-80-86943-42-8
ISSN: 2464-4617
Keywords: obraz;textury;ortogonální báze;fuzzy množiny;Bellman-Zadehův koncept
Keywords in different language: image;textures;orthogonal bases;fuzzy sets;Bellman-Zadeh concept
Abstract: This paper considers image compression for texture images. For texture representation we consider the orthogonal decomposition of two-dimensional signals (images) using spectral transform in the different basis functions. This paper focuses on the analysis of the following basis DCT, FFT, Haar, Hartley, and Walsh using system criteria analysis. The error of the orthogonal representation of images and the computational cost are considered when choosing a basis system, which is based on the Bellman-Zadeh concept using fuzzy sets. It is shown that the Haar transform can represent textural images more efficiently with smaller average risk than other basis functions.
Rights: © Václav Skala - Union Agency
Appears in Collections:WSCG 2018: Poster Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/34641

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