Offers a comprehensive resource encompassing the current state-of-the-art in the domain of digital forensics Clearly discusses state-of-the-art solutions for numerous digital-image forensic problems Introduces different computer-vision, image-processing, and machine-learning-based techniques to solve several serious image forensics problems Includes detailed mathematical and statistical analyses with illustration and examples

Autorentext

Aniket Roy is an M.S. (research) student at the Department of Computer Science and Engineering at the Indian Institute of Technology Kharagpur. He received his B.Tech. degree in Electronics and Communication Engineering from West Bengal University of Technology (now Maulana Abul Kalam Azad University of Technology), India in 2014. His primary research interest lies in multimedia security, reversible watermarking and digital forensics. He received the Best Paper Award at the 15th International Workshop on Digital-forensics and Watermarking. He is an IEEE student member.

Rahul Dixit is a Ph.D. scholar at the Department of Computer Science and Engineering at the National Institute of Technology, Rourkela, India. He received his M.Tech. and B.Tech. degrees in Computer Science and Engineering from the Indian School of Mines, Dhanbad and Uttar Pradesh Technical University (now Dr. A.P.J. Abdul Kalam Technical University), respectively. His major research interests include digital image and video forensics, multimedia security and image processing.

Ruchira Naskar has been an assistant professor at the National Institute of Technology Department of Computer Science and Engineering, Rourkela, India since 2014. She received her Ph.D. from the Indian Institute of Technology Kharagpur, India in 2014. Her primary research interests are multimedia security and digital rights management, and she has over 30 publications in reputed journals and conferences. Her recent research interest is Digital Forensics. Dr. Naskar is a Member of the IEEE.

Rajat Subhra Chakraborty is an associate professor at the Indian Institute of Technology Kharagpur Department of Computer Science and Engineering, India. He has worked at National Semiconductor and Advanced Micro Devices (AMD). His research interests are in the areas of hardware security, very-large-scale integration (VLSI) design, digital watermarking and digital image forensics. He haspublished over 80 papers in respected international journals and conferences, and holds two U.S. patents. He has a Ph.D. in Computer Engineering from Case Western Reserve University (U.S.A.). Dr. Chakraborty is a senior member of the IEEE and the ACM.

Inhalt
Chapter 1: Introduction.- Chapter 2: Source Camera Identification Using Statistical Features.- Chapter 3: Copy Move Forgery Detection in Digital Images A Survey and Analysis.- Chapter 4: CopyMove Forgery Detection exploiting Statistical Image Features.- Chapter 5: Blur-invariant Copy-move Forgery Detection utilizing SWT-SVD.- Chapter 6: CopyMove Forgery Detection with Similar but Genuine Objects using Texture Features.- Chapter 7: Conclusions and Future Work. <p