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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">bsuir</journal-id><journal-title-group><journal-title xml:lang="ru">Доклады БГУИР</journal-title><trans-title-group xml:lang="en"><trans-title>Doklady BGUIR</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1729-7648</issn><issn pub-type="epub">2708-0382</issn><publisher><publisher-name>БГУИР</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">bsuir-223</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title>АЛГОРИТМ ВЫЧИСЛЕНИЯ АДАПТИВНОГО ЛИФТИНГ ВЕЙВЛЕТ-ПРЕОБРАЗОВАНИЯ НА ОСНОВЕ ДИФФУЗИИ ОШИБОК ПРЕДСКАЗАНИЯ</article-title><trans-title-group xml:lang="en"><trans-title>AN ALGORITHM OF ADAPTIVE LIFTING WAVELET TRANSFORM COMPUTATION based on prediction error diffusion</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Руис</surname><given-names>Л. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Ruiz</surname><given-names>L. A.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Борискевич</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Boriskevich</surname><given-names>A. A.</given-names></name></name-alternatives><email xlink:type="simple">noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>Белорусский государственный университет информатики и радиоэлектроники</institution><country>Belarus</country></aff><pub-date pub-type="collection"><year>2013</year></pub-date><pub-date pub-type="epub"><day>03</day><month>06</month><year>2019</year></pub-date><volume>0</volume><issue>6</issue><fpage>55</fpage><lpage>61</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Руис Л.А., Борискевич А.А., 2019</copyright-statement><copyright-year>2019</copyright-year><copyright-holder xml:lang="ru">Руис Л.А., Борискевич А.А.</copyright-holder><copyright-holder xml:lang="en">Ruiz L.A., Boriskevich A.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://doklady.bsuir.by/jour/article/view/223">https://doklady.bsuir.by/jour/article/view/223</self-uri><abstract><p>Предложен алгоритм вычисления адаптивного дискретного лифтинг вейвлет-преобразования, основанный на адаптивном предсказании детализирующих вейвлет-коэффициентов с использованием бинарного растрированного изображения, формируемого в пределах детализирующих поддиапазонов. Результаты моделирования показывают, что данный алгоритм обеспечивает эффективное сжатие почти без потерь за счет обработки незначимых пикселов с помощью процедуры рассеяния ошибки квантования.</p></abstract><trans-abstract xml:lang="en"><p>An algorithm of adaptive lifting wavelet transform computation based on adaptive prediction of the detail wavelet coefficients, with using subbands halftone image obtained from the original grayscale is proposed. The results of an algorithm modeling show that it provides near lossless compression due to processing of insignificant coefficients defined by quantization error diffusion procedure.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>адаптивное вейвлет-преобразование</kwd><kwd>растрированное изображение</kwd><kwd>диффузия ошибок</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Сэломон Д. // Сжатие данных. 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