Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659934534 ISBN 13: 9783659934537
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoPaperback. Condición: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659934534 ISBN 13: 9783659934537
Librería: preigu, Osnabrück, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. Image Fusion Using HOSVD | Suchita Hatte | Taschenbuch | 64 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659934537 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing Sep 2016, 2016
ISBN 10: 3659934534 ISBN 13: 9783659934537
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The goal of image fusion is to combine relevant information from two or more source images into one single image such that the single image contains as much information from all the source images as possible.There are many image fusion methods.This book present some of the image fusion techniques for image fusion and propose novel higher order singular value decomposition (HOSVD) based image fusion algorithm. Image fusion depends on local information of source images, the proposed algorithm picks out informative image patches of source images to constitute the fused image by processing the divided subtensors rather than the whole tensor. 64 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659934534 ISBN 13: 9783659934537
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hatte SuchitaProf. Hatte Suchita Chandrakant from the Electronics Department, K.B.P. College of engineering, Satara. She is Currently working in K.B.P. College of engineering as an associate professor.The goal of image fusion is .
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Aug 2016, 2016
ISBN 10: 3659934534 ISBN 13: 9783659934537
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The goal of image fusion is to combine relevant information from two or more source images into one single image such that the single image contains as much information from all the source images as possible.There are many image fusion methods.This book present some of the image fusion techniques for image fusion and propose novel higher order singular value decomposition (HOSVD) based image fusion algorithm. Image fusion depends on local information of source images, the proposed algorithm picks out informative image patches of source images to constitute the fused image by processing the divided subtensors rather than the whole tensor.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.
Idioma: Inglés
Publicado por LAP Lambert Academic Publishing, 2016
ISBN 10: 3659934534 ISBN 13: 9783659934537
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 35,90
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The goal of image fusion is to combine relevant information from two or more source images into one single image such that the single image contains as much information from all the source images as possible.There are many image fusion methods.This book present some of the image fusion techniques for image fusion and propose novel higher order singular value decomposition (HOSVD) based image fusion algorithm. Image fusion depends on local information of source images, the proposed algorithm picks out informative image patches of source images to constitute the fused image by processing the divided subtensors rather than the whole tensor.