Image Compression Using Walsh Functions
https://doi.org/10.35596/1729-7648-2022-20-7-88-94
Abstract
Currently, image transfer and storage require compression. In this article, the hybrid compression algorithm is used for color/black and white images. It includes the discrete wavelet transformation and the Walsh transformation that is used for quantization. The Walsh transform coefficients are quantized and arithmetically encoded. At the output, the combined data is compressed and can be stored on any device or transmitted over any available network in the shortest time. The compressed image is decoded and the original image is decompressed using the inverse conversion operation.
About the Authors
A. A. Budzko
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Budzko A. А., Cand. of Sci., Associate Professor
Minsk
T. N. Dvornikova
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Dvornikova T. N., M.Sci., Senior Lecturer
Minsk
E. A. Misulin
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Misulin E. A., Student
Minsk
R. U. Snapko
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Snapko Roman Ur’evich, Student
Minsk, Rokossovsky Ave., 18/1, fl. 387
Tel. +375 33 632-79-83
References
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5. Kharkevich A. A. (1962) Spectra and Analysis. Moscow, Fizmat (in Russian).
Review
For citations:
Budzko A.A., Dvornikova T.N., Misulin E.A., Snapko R.U. Image Compression Using Walsh Functions. Doklady BGUIR. 2022;20(7):88-94. (In Russ.) https://doi.org/10.35596/1729-7648-2022-20-7-88-94
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