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Examining quantum algorithms for quantum image processing Advances in computer and electrical engineering (ACEE) book series./ HaiSheng Li.

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dc.contributor.author Li HaiSheng
dc.date.accessioned 2024-01-29T22:19:34Z
dc.date.available 2024-01-29T22:19:34Z
dc.date.issued 2021
dc.identifier.citation Li. Examining quantum algorithms for quantum image processing Advances in computer and electrical engineering (ACEE) book series. - 1 online resource (xviii, 336 pages) : - URL: https://libweb.kpfu.ru/ebsco/pdf/2580939.pdf
dc.identifier.isbn 9781799838012
dc.identifier.isbn 1799838013
dc.identifier.isbn 1799838005
dc.identifier.isbn 9781799838005
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/180564
dc.description "Premier Reference Source" -- taken from front cover.
dc.description Includes bibliographical references and index.
dc.description.abstract "This book provides a comprehensive introduction to quantum image algorithms to establish frameworks of quantum image processing"--
dc.description.tableofcontents Chapter 1. Fundamentals of quantum computation -- Chapter 2. The storage and retrieval technologies of quantum images -- Chapter 3. Quantum geometric transformations -- Chapter 4. Quantum fourier transforms -- Chapter 5. Quantum wavelet transforms -- Chapter 6. Quantum wavelet packet transforms -- Chapter 7. Quantum image segmentation algorithms.
dc.language English
dc.language.iso en
dc.relation.ispartofseries Advances in computer and electrical engineering (ACEE) book series
dc.relation.ispartofseries Advances in computer and electrical engineering (ACEE) book series.
dc.subject.other Image processing -- Mathemaics.
dc.subject.other Quantum optics.
dc.subject.other Quantum computing.
dc.subject.other Algorithms.
dc.subject.other Algorithms.
dc.subject.other Quantum computing.
dc.subject.other Quantum optics.
dc.subject.other Electronic books.
dc.title Examining quantum algorithms for quantum image processing Advances in computer and electrical engineering (ACEE) book series./ HaiSheng Li.
dc.type Book
dc.description.pages 1 online resource (xviii, 336 pages) :
dc.collection Электронно-библиотечные системы
dc.source.id EN05CEBSCO05C1693


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