Overview
- Presents a detailed study of key points and block-based copy-move forgery detection techniques
- Aims at reducing the computational time without adversely affecting the efficiency of CMFD techniques
- Introduces a new ConvNet based image copy-move forgery detection process with source/target location
Part of the book series: Studies in Computational Intelligence (SCI, volume 1017)
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About this book
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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Keywords
Table of contents (9 chapters)
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Front Matter
Authors and Affiliations
About the authors
Badal Soni is an Assistant Professor at the Department of Computer Engineering, National Institute of Technology (NIT) Silchar, India. He completed his B. Tech. from Rajiv Gandhi Technical University (formerly RGPV) Bhopal, India, and M. Tech. from Indian Institute of Information Technology (IIITDM) Jabalpur, India. He received his Ph.D. from NIT Silchar, India. Dr. Soni has teaching and research experience of over seven years in computer science and information technology with a special interest in computer graphics, image processing, speech, and language processing. He has published over 35 papers in international journals and conference proceedings. He is the Senior member of IEEE and professional members of various bodies like IEEE, ACM, IAENG & IACSIT.
Pradip K. Das is a Professor at the Department of Computer Science and Engineering, Indian Institute of Technology Guwahati, India. Prof. Das completed his B.Sc. Statistics (Hons.) from Gauhati University in 1989. He got hisM.Sc. Mathematical Statistics and Ph.D. degrees from Delhi University, in 1991 and 1999, respectively. Prof. Das has successfully guided 5 students for their Ph.D. theses and he is presently supervising 5 Ph.D. scholars. Prof. Das has got several publications to his credit. His research areas are speech & language processing, mobile robotics, IoT & cyber-physical systems, software engineering, algorithms, and smart devices.
Bibliographic Information
Book Title: Image Copy-Move Forgery Detection
Book Subtitle: New Tools and Techniques
Authors: Badal Soni, Pradip K. Das
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-981-16-9041-9
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN: 978-981-16-9040-2Published: 05 February 2022
Softcover ISBN: 978-981-16-9043-3Published: 06 February 2023
eBook ISBN: 978-981-16-9041-9Published: 04 February 2022
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXI, 133
Number of Illustrations: 6 b/w illustrations, 60 illustrations in colour
Topics: Signal, Image and Speech Processing, Image Processing and Computer Vision, Computational Intelligence