Image copy-move forgery detection : new tools and techniques
- Singapore : Springer, 2022
- xxi, 133 p. ; ill., (b & w, and col.), 24 cm
- Studies in computational intelligence ; v.1017 .
Includes bibliographical references.
This book presents a detailed study of key points and block-based copy-move forgery detection techniques with a critical discussion about their pros and cons. It also highlights the directions for further development in image forgery detection. The book includes various publicly available standard image copy-move forgery datasets that are experimentally analyzed and presented with complete descriptions. Five different image copy-move forgery detection techniques are implemented to overcome the limitations of existing copy-move forgery detection techniques. The key focus of work is to reduce the computational time without adversely affecting the efficiency of these techniques. In addition, these techniques are also robust to geometric transformation attacks like rotation, scaling, or both.
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Image processing Digital techniques Digital images Forgeries Digital forensic science Affine transform CMFD Copied region Dataset Descriptors Detection results Forensics Forged images Geometric transformation MICC-F220 dataset Overlapping blocks Post-processing operations Rotation, scaling SIFT SURF Tampered images Wavelet