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.
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.
Prof. Vipin Tyagi is a distinguished academician, researcher, and author, currently serving as Dean (Academic and Research) at Jaypee University of Engineering and Technology in Guna, Madhya Pradesh, Indl£2
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