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191226s2021 paua ob 001 0 eng
▼a 2019059581
▼a 9781799838012
▼q electronic book
▼a 1799838013
▼q electronic book
▼a 1799838005
▼q electronic book
▼a 9781799838005
▼q (electronic bk.)
▼z 9781799837992
▼q hardcover
▼z 9781799851608
▼q paperback
▼a 2580939
▼b (N$T)
▼a (OCoLC)1142947718
▼a DLC
▼b eng
▼e rda
▼c DLC
▼d OCLCQ
▼d OCLCF
▼d OCLCO
▼d IGIGL
▼d EBLCP
▼d YDX
▼d N$T
▼d 248023
▼a pcc
▼a TA1637.5
▼b .L53 2021
▼a 006.3/843
▼2 23
▼a Li, HaiSheng,
▼d 1974-,
▼e author.
▼a Examining quantum algorithms for quantum image processing /:
▼c HaiSheng Li.
▼a Hershey, PA:
▼b Engineering Science Reference, an imprint of IGI Global,
▼c [2021].
▼a 1 online resource (xviii, 336 pages):
▼b illustrations (chiefly color).
▼a text
▼b txt
▼2 rdacontent
▼a computer
▼b c
▼2 rdamedia
▼a online resource
▼b cr
▼2 rdacarrier
▼a Advances in computer and electrical engineering (ACEE) book series
▼a "Premier Reference Source" -- taken from front cover.
▼a Includes bibliographical references and index.
▼a 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.
▼a "This book provides a comprehensive introduction to quantum image algorithms to establish frameworks of quantum image processing"--
▼c Provided by publisher.
▼a Description based on online resource; title from digital title page (viewed on October 01, 2020).
▼a Added to collection customer.56279.3
▼a Image processing
▼x Mathemaics.
▼a Quantum optics.
▼a Quantum computing.
▼a Algorithms.
▼a Algorithms.
▼2 fast
▼0 (OCoLC)fst00805020
▼a Quantum computing.
▼2 fast
▼0 (OCoLC)fst01920679
▼a Quantum optics.
▼2 fast
▼0 (OCoLC)fst01085118
▼a Electronic books.
▼i Print version:
▼a Li, HaiSheng, 1974-
▼t Examining quantum algorithms for quantum image processing.
▼d Hershey, PA : Engineering Science Reference, an imprint of IGI Global, [2020],
▼z 9781799837992
▼w (DLC) 2019059580
▼a Advances in computer and electrical engineering (ACEE) book series.
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2580939
▼a ProQuest Ebook Central
▼b EBLB
▼n EBL6320255
▼a IGI Global
▼b IGIG
▼n 00244244
▼a EBSCOhost
▼b EBSC
▼n 2580939
▼a 강리원
▼a eBook
▼a 92
▼b N$T
| 자료유형 : | eBook |
|---|---|
| ISBN : | 9781799838012 |
| ISBN : | 1799838013 |
| ISBN : | 1799838005 |
| ISBN : | 9781799838005 |
| ISBN : | |
| ISBN : | |
| 개인저자 : | Li, HaiSheng, 1974-, author. |
| 서명/저자사항 : | Examining quantum algorithms for quantum image processing /: HaiSheng Li. |
| 발행사항 : | Hershey, PA: Engineering Science Reference, an imprint of IGI Global, [2021]. |
| 형태사항 : | 1 online resource (xviii, 336 pages): illustrations (chiefly color). |
| 총서사항 : | Advances in computer and electrical engineering (ACEE) book series |
| 일반주기 : | "Premier Reference Source" -- taken from front cover. |
| 서지주기 : | Includes bibliographical references and index. |
| 내용주기 : | 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. |
| 요약 : | "This book provides a comprehensive introduction to quantum image algorithms to establish frameworks of quantum image processing"-- Provided by publisher. |
| 일반주제명 : | Image processing -- Mathemaics. -- |
| 일반주제명 : | Quantum optics. -- |
| 일반주제명 : | Quantum computing. -- |
| 일반주제명 : | Algorithms. -- |
| 일반주제명 : | Algorithms. -- |
| 일반주제명 : | Quantum computing. -- |
| 일반주제명 : | Quantum optics. -- |
| 기타형태 저록 : | Print version: Li, HaiSheng, 1974- Examining quantum algorithms for quantum image processing. Hershey, PA : Engineering Science Reference, an imprint of IGI Global, [2020], 9781799837992 |
| 언어 | 영어 |
| URL : |
|---|
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