Image Compression Using Walsh Functions

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 quan...

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Main Authors: A. A. Budzko, T. N. Dvornikova, E. A. Misulin, R. U. Snapko
Format: Article
Language:Russian
Published: Educational institution «Belarusian State University of Informatics and Radioelectronics» 2022-12-01
Series:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
Subjects:
Online Access:https://doklady.bsuir.by/jour/article/view/3506
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author A. A. Budzko
T. N. Dvornikova
E. A. Misulin
R. U. Snapko
author_facet A. A. Budzko
T. N. Dvornikova
E. A. Misulin
R. U. Snapko
author_sort A. A. Budzko
collection DOAJ
description 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.
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language Russian
last_indexed 2024-04-10T03:10:58Z
publishDate 2022-12-01
publisher Educational institution «Belarusian State University of Informatics and Radioelectronics»
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series Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
spelling doaj.art-43d78f517e494e8984dd46edf0827f792023-03-13T07:33:23ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482022-12-01207889410.35596/1729-7648-2022-20-7-88-941854Image Compression Using Walsh FunctionsA. A. Budzko0T. N. Dvornikova1E. A. Misulin2R. U. Snapko3Belarusian State University of Informatics and RadioelectronicsBelarusian State University of Informatics and RadioelectronicsBelarusian State University of Informatics and RadioelectronicsBelarusian State University of Informatics and RadioelectronicsCurrently, 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.https://doklady.bsuir.by/jour/article/view/3506walsh transformlossless image compressionwavelet transform
spellingShingle A. A. Budzko
T. N. Dvornikova
E. A. Misulin
R. U. Snapko
Image Compression Using Walsh Functions
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
walsh transform
lossless image compression
wavelet transform
title Image Compression Using Walsh Functions
title_full Image Compression Using Walsh Functions
title_fullStr Image Compression Using Walsh Functions
title_full_unstemmed Image Compression Using Walsh Functions
title_short Image Compression Using Walsh Functions
title_sort image compression using walsh functions
topic walsh transform
lossless image compression
wavelet transform
url https://doklady.bsuir.by/jour/article/view/3506
work_keys_str_mv AT aabudzko imagecompressionusingwalshfunctions
AT tndvornikova imagecompressionusingwalshfunctions
AT eamisulin imagecompressionusingwalshfunctions
AT rusnapko imagecompressionusingwalshfunctions