Natural Image Statistics in Digital Image Forensics - Couverture souple

Lyu, Siwei

 
9783639432138: Natural Image Statistics in Digital Image Forensics
Couverture souple
ISBN 10 : 3639432134 ISBN 13 : 9783639432138
Editeur : AV Akademikerverlag, 2012

Synopsis

Revision with unchanged content. Over the past decade, with the increasing popularity of Internet and digital technology, images in digital format have become ubiquitous. At the same time, with the break-neck speeds of the development of technology that allows for digital images to be manipulated and distorted, detecting tampering or validating authenticity of digital images are of great importance for forensic practitioners. This book provides the first general framework, based on universal statistical properties of natural images, of detecting tampering and authenticating digital images that has been successfully applied to three problems in digital image forensics: (1) differentiating photographic images from computer-generated photorealistic images, (2) detection of steganography (hidden messages) in digital images; (3) differentiating lively captured and rebroadcast images in biometric-based authentication systems, and also to digital authentication and identification in art forensics. This work should help bridging the research work in image modeling and forensics, and should be especially useful to researchers and practitioners in image modeling, digital image forensics or related fields.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Revision with unchanged content. Over the past decade, with the increasing popularity of Internet and digital technology, images in digital format have become ubiquitous. At the same time, with the break-neck speeds of the development of technology that allows for digital images to be manipulated and distorted, detecting tampering or validating authenticity of digital images are of great importance for forensic practitioners. This book provides the first general framework, based on universal statistical properties of natural images, of detecting tampering and authenticating digital images that has been successfully applied to three problems in digital image forensics: (1) differentiating photographic images from computer-generated photorealistic images, (2) detection of steganography (hidden messages) in digital images; (3) differentiating lively captured and rebroadcast images in biometric-based authentication systems, and also to digital authentication and identification in art forensics. This work should help bridging the research work in image modeling and forensics, and should be especially useful to researchers and practitioners in image modeling, digital image forensics or related fields.

Biographie de l'auteur

The author is an assistant professor in computer science at State University of New York, Albany. He obtained his Ph.D. degree in computer science from Dartmouth College in 2005, From 2005 to 2007 he was a post-doctoral research associate at New York University. His research interests include image processing, image forensics, and computer vision.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
AV Akademikerverlag
Date d'édition
2012
Langue
anglais
ISBN 10 
3639432134
ISBN 13 
9783639432138
Reliure
Broché
Nombre de pages
116
Coordonnées du fabricant
non disponible
Personne responsable
non disponible

Autres éditions populaires du même titre

9783836455534: Natural Image Statistics in Digital Image Forensics

Edition présentée

ISBN 10 :  3836455536 ISBN 13 :  9783836455534
Editeur : VDM Verlag Dr. Mueller E.K., 2008
Couverture souple