Image Copy-Move Forgery Detection: New Tools and Techniques: 1017 (Studies in Computational Intelligence) - Tapa blanda

Soni, Badal; Das, Pradip K.

 
9789811690433: Image Copy-Move Forgery Detection: New Tools and Techniques: 1017 (Studies in Computational Intelligence)
Tapa blanda
ISBN 10: 981169043X ISBN 13: 9789811690433
Editorial: Springer, 2023

Sinopsis

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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Acerca del autor

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.

De la contraportada

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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Editorial
Springer
Año de publicación
2023
Idioma
Inglés
ISBN 10 
981169043X
ISBN 13 
9789811690433
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
156
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Otras ediciones populares con el mismo título

9789811690402: Image Copy-Move Forgery Detection: New Tools and Techniques: 1017 (Studies in Computational Intelligence, 1017)

Edición Destacada

ISBN 10:  9811690405 ISBN 13:  9789811690402
Editorial: Springer, 2022
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