Editore: Academic Press (edition 1), 2022
ISBN 10: 0323983707 ISBN 13: 9780323983709
Lingua: Inglese
Da: BooksRun, Philadelphia, PA, U.S.A.
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Da: Majestic Books, Hounslow, Regno Unito
EUR 154,78
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Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloPaperback. Condizione: Brand New. 360 pages. 9.00x6.00x0.83 inches. In Stock.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: Books Puddle, New York, NY, U.S.A.
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Editore: Elsevier Science & Technology, 2022
ISBN 10: 0323983707 ISBN 13: 9780323983709
Lingua: Inglese
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 172,50
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Editore: Elsevier Science & Technology, 2022
ISBN 10: 0323983707 ISBN 13: 9780323983709
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 180,99
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 3 working days. 590.
Editore: Elsevier Science & Technology, 2022
ISBN 10: 0323983707 ISBN 13: 9780323983709
Lingua: Inglese
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 219,27
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 180,71
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Editore: Elsevier Science & Technology Okt 2022, 2022
ISBN 10: 0323983707 ISBN 13: 9780323983709
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 148,00
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Digital Image Enhancement and Reconstruction: Techniques and Applications explores different concepts and techniques used for the enhancement as well as reconstruction of low-quality images. Most real-life applications require good quality images to gain maximum performance, however, the quality of the images captured in real-world scenarios is often very unsatisfactory. Most commonly, images are noisy, blurry, hazy, tiny, and hence need to pass through image enhancement and/or reconstruction algorithms before they can be processed by image analysis applications. This book comprehensively explores application-specific enhancement and reconstruction techniques including satellite image enhancement, face hallucination, low-resolution face recognition, medical image enhancement and reconstruction, reconstruction of underwater images, text image enhancement, biometrics, etc. Chapters will present a detailed discussion of the challenges faced in handling each particular kind of image, analysis of the best available solutions, and an exploration of applications and future directions. The book provides readers with a deep dive into denoising, dehazing, super-resolution, and use of soft computing across a range of engineering applications. 378 pp. Englisch.
Editore: Elsevier Science & Technology, 2022
ISBN 10: 0323983707 ISBN 13: 9780323983709
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 161,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Digital Image Enhancement and Reconstruction: Techniques and Applications explores different concepts and techniques used for the enhancement as well as reconstruction of low-quality images. Most real-life applications require good quality images to gain maximum performance, however, the quality of the images captured in real-world scenarios is often very unsatisfactory. Most commonly, images are noisy, blurry, hazy, tiny, and hence need to pass through image enhancement and/or reconstruction algorithms before they can be processed by image analysis applications. This book comprehensively explores application-specific enhancement and reconstruction techniques including satellite image enhancement, face hallucination, low-resolution face recognition, medical image enhancement and reconstruction, reconstruction of underwater images, text image enhancement, biometrics, etc. Chapters will present a detailed discussion of the challenges faced in handling each particular kind of image, analysis of the best available solutions, and an exploration of applications and future directions. The book provides readers with a deep dive into denoising, dehazing, super-resolution, and use of soft computing across a range of engineering applications.