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<journal-meta>
<journal-id journal-id-type="publisher">global-journal-of-computer-science-and-technology-c-software-data-engineering</journal-id>
<journal-title-group>
<journal-title>Global Journal of Computer Science and Technology - C: Software &amp; Data Engineering</journal-title>
</journal-title-group>
<issn publication-format="print">0975-4350</issn>
<issn publication-format="electronic">0975-4172</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
<self-uri xlink:href="https://globaljournals.org/journal-seo-export/jats/54700.xml" />
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<article-meta>
<article-id pub-id-type="publisher-id">54700</article-id>
<title-group>
<article-title>Image Compression using Walsh Functions</article-title>
<subtitle>Hybrid Image Compression Using Walsh and Haar Transforms</subtitle>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Anatolevich</surname><given-names>Misulin Egor</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
<contrib contrib-type="author"><name><surname>Yurievich</surname><given-names>Snapko Roman</given-names></name></contrib>
</contrib-group>
<aff id="aff1">BELARUS, BSUIR</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2023-05-20">
<day>20</day>
<month>05</month>
<year>2023</year>
</pub-date>
<volume>23</volume>
<issue>C1</issue>
<fpage>1</fpage>
<lpage>5</lpage>
<abstract><p>Image transfer and storage require compression to reduce memory usage and increase transmission speed. In this article, the hybrid compression algorithm is used for color/black and white images. It includes the discrete wavelet transform and the Walsh transform. The Walsh transform coefficients are quantized and arithmetically encoded. The combined output is compressed and can be 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.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>walsh transform</kwd>
<kwd>lossless image compression</kwd>
<kwd>wavelet transform.</kwd>
</kwd-group>
<self-uri content-type="pdf" xlink:href="https://globaljournals.org/GJCST_Volume23/1-Image-Compression-using-Walsh-Functions.pdf" />
<self-uri content-type="html" xlink:href="https://globaljournals.org/scholarly-articles/image-compression-using-walsh-functions/" />
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<title>Full Text</title>
<p>Currently, image transfer and storage require compression to reduce memory usage and to increase transmission speed. In this article, the hybrid compression algorithm is used for color/black and white images. It includes the discrete wavelet transform and the Walsh transform are used for quantization. The Walsh transform coefficients are quantized and arithmetically encoded. The combined output is compressed and can be 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.</p>
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</body>
</article>