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First Edition
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Language: English
Published by Pergamon Press, 1965
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Language: English
Published by SIAM Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
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Language: English
Published by Taylor & Francis Ltd, 2021
ISBN 10: 0367780283 ISBN 13: 9780367780289
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Language: English
Published by SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
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Published by SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
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Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. Collecting a set of classical and emerging methods that otherwise would not be available in a single treatment, Foundations of Computational Imaging: A Model-Based Approach is the first book to define a common foundation for the mathematical and statistical methods used in computational imaging. The book is designed to bring together an eclectic group of researchers with a wide variety of applications and disciplines including applied math, physics, chemistry, optics, and signal processing, to address a collection of problems that can benefit from a common set of methods. Inside, readers will find:Basic techniques of model-based image processing.A comprehensive treatment of Bayesian and regularized image reconstruction methods.An integrated treatment of advanced reconstruction techniques such as majorization, constrained optimization, ADMM, and Plug-and-Play methods for model integration.Foundations of Computational Imaging can be used in courses on Model-Based or Computational Imaging, Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory. It is also for researchers or practitioners in medical imaging, scientific imaging, commercial imaging, or industrial imaging.
Language: English
Published by MP-SIA SIAM - Society for Industrial and Applied M, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
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Published by Society for Industrial & Applied Mathematics,U.S., 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
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Published by SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
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Language: English
Published by SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
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Language: English
Published by Society for Industrial & Applied Mathematics,U.S., 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
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Published by Society For Industrial & Applied Mathematics,U.S., 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
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Published by Society for Industrial & Applied Mathematics,U.S., 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
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Published by SIAM-Society for Industrial and Applied Mathematics, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
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Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Statistical Methods for Materials Science | The Data Science of Microstructure Characterization | Jeffrey P. Simmons (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | CRC Press | EAN 9780367780289 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Language: English
Published by Society for Industrial and Applied Mathematics,U.S., US, 2022
ISBN 10: 1611977126 ISBN 13: 9781611977127
Seller: Rarewaves.com UK, London, United Kingdom
Paperback. Condition: New. Collecting a set of classical and emerging methods that otherwise would not be available in a single treatment, Foundations of Computational Imaging: A Model-Based Approach is the first book to define a common foundation for the mathematical and statistical methods used in computational imaging. The book is designed to bring together an eclectic group of researchers with a wide variety of applications and disciplines including applied math, physics, chemistry, optics, and signal processing, to address a collection of problems that can benefit from a common set of methods. Inside, readers will find:Basic techniques of model-based image processing.A comprehensive treatment of Bayesian and regularized image reconstruction methods.An integrated treatment of advanced reconstruction techniques such as majorization, constrained optimization, ADMM, and Plug-and-Play methods for model integration.Foundations of Computational Imaging can be used in courses on Model-Based or Computational Imaging, Advanced Numerical Analysis, Special Topics on Numerical Analysis, Topics on Data Science, Topics on Numerical Optimization, and Topics on Approximation Theory. It is also for researchers or practitioners in medical imaging, scientific imaging, commercial imaging, or industrial imaging.
Language: English
Published by Taylor & Francis Group, 2019
ISBN 10: 1498738206 ISBN 13: 9781498738200
Seller: Books Puddle, New York, NY, U.S.A.
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Language: English
Published by Taylor & Francis Group, 2019
ISBN 10: 1498738206 ISBN 13: 9781498738200
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