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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Autor*in:	A. A. Budzko [verfasserIn] T. N. Dvornikova [verfasserIn] E. A. Misulin [verfasserIn] R. U. Snapko [verfasserIn]

Format:	E-Artikel
Sprache:	Russisch

Erschienen:	2022

Schlagwörter:	walsh transform lossless image compression wavelet transform

Übergeordnetes Werk:	In: Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki - Educational institution «Belarusian State University of Informatics and Radioelectronics», 2020, 20(2022), 7, Seite 88-94
Übergeordnetes Werk:	volume:20 ; year:2022 ; number:7 ; pages:88-94

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.35596/1729-7648-2022-20-7-88-94

Katalog-ID:	DOAJ087893606

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allfieldsSound	10.35596/1729-7648-2022-20-7-88-94 doi (DE-627)DOAJ087893606 (DE-599)DOAJ43d78f517e494e8984dd46edf0827f79 DE-627 ger DE-627 rakwb rus TK7800-8360 A. A. Budzko verfasserin aut Image Compression Using Walsh Functions 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. walsh transform lossless image compression wavelet transform Electronics T. N. Dvornikova verfasserin aut E. A. Misulin verfasserin aut R. U. Snapko verfasserin aut In Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki Educational institution «Belarusian State University of Informatics and Radioelectronics», 2020 20(2022), 7, Seite 88-94 (DE-627)1028342136 17297648 nnns volume:20 year:2022 number:7 pages:88-94 https://doi.org/10.35596/1729-7648-2022-20-7-88-94 kostenfrei https://doaj.org/article/43d78f517e494e8984dd46edf0827f79 kostenfrei https://doklady.bsuir.by/jour/article/view/3506 kostenfrei https://doaj.org/toc/1729-7648 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2022 7 88-94
language	Russian
source	In Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki 20(2022), 7, Seite 88-94 volume:20 year:2022 number:7 pages:88-94
sourceStr	In Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki 20(2022), 7, Seite 88-94 volume:20 year:2022 number:7 pages:88-94
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	walsh transform lossless image compression wavelet transform Electronics
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callnumber-first	T - Technology
author	A. A. Budzko
spellingShingle	A. A. Budzko misc TK7800-8360 misc walsh transform misc lossless image compression misc wavelet transform misc Electronics Image Compression Using Walsh Functions
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topic_title	TK7800-8360 Image Compression Using Walsh Functions walsh transform lossless image compression wavelet transform
topic	misc TK7800-8360 misc walsh transform misc lossless image compression misc wavelet transform misc Electronics
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title	Image Compression Using Walsh Functions
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title_full	Image Compression Using Walsh Functions
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title_auth	Image Compression Using Walsh Functions
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.
abstractGer	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.
abstract_unstemmed	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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title_short	Image Compression Using Walsh Functions
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