Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200786828 ISBN 13: 9786200786821
Da: preigu, Osnabrück, Germania
EUR 36,25
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Copy Move Image Forgery Detection | Light Invariant Techniques | Sunil Kumar (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200786821 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Mrz 2020, 2020
ISBN 10: 6200786828 ISBN 13: 9786200786821
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 39,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image Forgery is a very common problem faced in the multimedia world. People used to tamper the original images either to hide facts or to change the interpretation of the scene. There are many instances in history to support the statement. The toughest type of forgery detection is blind forgery detection. There is no clue available about the camera, author or location to corroborate the facts presented by the picture. Copy move forgery is one of the widely used forgeries in digital images. The people doing forgery make the task of forgery detection more difficult by using some post-processing operations like scaling rotation compression or changing lightning conditions like brightness, contrast, etc. The book presents a set of techniques to detect a forgery in the presence of post-processing operation of change of lighting conditions. The techniques use DCT, PCA transforms and their combinations to make the feature vectors robust to lightning conditions and time-efficient. The techniques have been presented in a way to help new researchers looking to work in the area. A thorough analysis has been done using popular image data sets. 68 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200786828 ISBN 13: 9786200786821
Da: moluna, Greven, Germania
EUR 34,25
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kumar SunilDr. Sunil Kumar is currently working as Associate Professor at the School of Computing and IT, Manipal University Jaipur. He has academic experience of 17 years. He is currently guiding 4 Ph.D. scholars. His research inter.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Mär 2020, 2020
ISBN 10: 6200786828 ISBN 13: 9786200786821
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 39,90
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Image Forgery is a very common problem faced in the multimedia world. People used to tamper the original images either to hide facts or to change the interpretation of the scene. There are many instances in history to support the statement. The toughest type of forgery detection is blind forgery detection. There is no clue available about the camera, author or location to corroborate the facts presented by the picture. Copy move forgery is one of the widely used forgeries in digital images. The people doing forgery make the task of forgery detection more difficult by using some post-processing operations like scaling rotation compression or changing lightning conditions like brightness, contrast, etc. The book presents a set of techniques to detect a forgery in the presence of post-processing operation of change of lighting conditions. The techniques use DCT, PCA transforms and their combinations to make the feature vectors robust to lightning conditions and time-efficient. The techniques have been presented in a way to help new researchers looking to work in the area. A thorough analysis has been done using popular image data sets.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200786828 ISBN 13: 9786200786821
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 40,89
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image Forgery is a very common problem faced in the multimedia world. People used to tamper the original images either to hide facts or to change the interpretation of the scene. There are many instances in history to support the statement. The toughest type of forgery detection is blind forgery detection. There is no clue available about the camera, author or location to corroborate the facts presented by the picture. Copy move forgery is one of the widely used forgeries in digital images. The people doing forgery make the task of forgery detection more difficult by using some post-processing operations like scaling rotation compression or changing lightning conditions like brightness, contrast, etc. The book presents a set of techniques to detect a forgery in the presence of post-processing operation of change of lighting conditions. The techniques use DCT, PCA transforms and their combinations to make the feature vectors robust to lightning conditions and time-efficient. The techniques have been presented in a way to help new researchers looking to work in the area. A thorough analysis has been done using popular image data sets.