This book Digital Image Forgery Detection: Techniques, Challenges and Applications presents a comprehensive yet concise information related to image forgery detection. The increasing number of manipulated digital images; ranging from simple photo editing to sophisticated computer generated images has raised significant concerns regarding the authenticity of visual information conveyed through images. This book introduces various types of digital image forgeries and addresses the technical and practical aspects of digital image forgery detection. Traditional and current machine…mehr
This book Digital Image Forgery Detection: Techniques, Challenges and Applications presents a comprehensive yet concise information related to image forgery detection. The increasing number of manipulated digital images; ranging from simple photo editing to sophisticated computer generated images has raised significant concerns regarding the authenticity of visual information conveyed through images.
This book introduces various types of digital image forgeries and addresses the technical and practical aspects of digital image forgery detection. Traditional and current machine learning-based approaches for forgery detection in digital images have been reviewed.
Targeted at technical students, researchers, forensic analysts, and professionals in the fields of image forensics, cybersecurity, and computer vision, this Springer Briefs will serve as a guide to one of the most important problems in the digital age.
Artikelnr. des Verlages: 89567947, 978-981-95-3003-8
Seitenzahl: 108
Erscheinungstermin: 24. Oktober 2025
Englisch
Abmessung: 235mm x 155mm x 7mm
Gewicht: 178g
ISBN-13: 9789819530038
ISBN-10: 9819530032
Artikelnr.: 75305232
Herstellerkennzeichnung
Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
ProductSafety@springernature.com
Autorenporträt
Dr. P.K. Gupta, a Post-Doctorate from the University of Pretoria, South Africa (2015-16) in the Department of Electrical, Electronic and Computer Engineering, is currently a Assistant Professor (Sr. Grade) at Jaypee University of Information Technology (JUIT), Himachal Pradesh (HP), India. He has more than 15 years of national and international experience in the Information Technology (IT) industry and academics. He has authored a number of research papers in peer-reviewed international journals and conferences. Further, Dr. Gupta is an Associate Editor of IEEE Access. His research areas include Internet-of-Things, Cloud Computing, Sustainable Computing, and Storage networks. Prof. Vipin Tyagi, Fellow-IETE, is currently working as Professor in Computer Science and Engineering department and Head - Faculty of Mathematical Sciences at Jaypee University of Engineering and Technology, Madhya Pradesh (MP), India. He is Vice President of the Computer Society ofIndia, Region 3, and is associated with the Society's Special Interest Group on Cyber Forensics. He was President of the Engineering Sciences Section of the Indian Science Congress Association for the term 2010-11. He has published a number of papers in various reputed journals and advanced research series, and has attended several national and international conferences. He is an expert in the area of Cyber Security, Cyber Forensics and Image Processing. Prof. Sanjay Kumar Singh is an Associate Professor in the Department of Computer Science and Engineering, Indian Institute of Technology (IIT), Uttar Pradesh (UP), India. He has been certified as a Novell Engineer (CNE) and Novell Administrator (CNA) by Novell Netware, USA. He is a member of LIMSTE, the IEEE, International Association of Engineers and the ISCE. He has over 70 national and international journal publications, book chapters and conference papers to his credit. His research areas include Biometrics,Computer Vision, Image Processing, Video Processing, Pattern Recognition and Artificial Intelligence.
Inhaltsangabe
Chapter 1: Introduction to Image Forgery.- Chapter 2: Types of Digital Image Forgery.- Chapter 3: Digital Image forgery detection techniques.- Chapter 4: Datasets and Evaluation.- Chapter 5: Challenges in Image Forgery Detection.- Chapter 6: Applications of Digital mage Forgery Detection.- Chapter 7: Future Directions.