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This book discusses blind investigation and recovery of digital
evidence left behind on digital devices, primarily for the purpose
of tracing cybercrime sources and criminals. It presents an
overview of the challenges of digital image forensics, with a
specific focus on two of the most common forensic problems. The
first part of the book addresses image source investigation, which
involves mapping an image back to its camera source to facilitate
investigating and tracing the source of a crime. The second part of
the book focuses on image-forgery detection, primarily focusing on
"copy-move forgery" in digital images, and presenting effective
solutions to copy-move forgery detection with an emphasis on
additional related challenges such as blur-invariance, similar
genuine object identification, etc. The book concludes with future
research directions, including counter forensics. With the
necessary mathematical information in every chapter, the book
serves as a useful reference resource for researchers and
professionals alike. In addition, it can also be used as a
supplementary text for upper-undergraduate and graduate-level
courses on "Digital Image Processing", "Information Security",
"Machine Learning", "Computer Vision" and "Multimedia Security and
Forensics".
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