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Genre: Education & Language
Language: English
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Description

This foundational chapter establishes the critical importance of digital image integrity in our
contemporary technological landscape. Beginning with comprehensive definitions and
historical context, we explore the fundamental concepts that underpin image authenticity
verification. The chapter examines the evolution from analog to digital imaging systems,
highlighting how this transformation has simultaneously created unprecedented opportunities
for manipulation and the need for sophisticated verification methods. We investigate the
primary threats to image authenticity, ranging from simple editing techniques to advanced
deepfake technologies, while exploring their implications across security, forensics, media, and
legal domains. Through analysis of common manipulation techniques and their detection
challenges, this chapter provides the essential foundation for understanding why image
integrity has become a cornerstone of digital trust in the 21st century.

About the Authors

Dr Mohit Kumar
Reg.No: NTU/ Postdoc/25-26/234/101
University: Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
Dr. Mohit Kumar is a highly skilled individual with a varied experience in teaching and research, covering a span of 14 years. He received his Ph.D. degree in CSE from Jaipur National University, Jaipur. He is currently working as an Associate Professor in the Department of Computer Science & Engineering at Amity University Jharkhand. He has authored or co-author papers in reputed top-cited journals like IEEE Transaction in Industrial Informatics, IEEE Transaction on Network Science and Engineering, HCIS Springer, Scientific Reports (Nature), Journal of Information Science & Engineering, MDPI Sensors, Symmetry, Electronics, and many more with a cumulative impact factor of >50. Dr. Kumar has also served as a reviewer the for prestigious journals such as the IEEE Internet of Things (IoT) Journal, HCIS Springer, and various others. Dr. Kumar has taken on the role of session chair in various international conferences. Furthermore, he was part of the Technical Program Committee (TPC) and contributed as an organizing committee member for multiple international conferences. He has been granted three patents, authored one book, and is currently working on another book for Springer. Dr. Kumar has also worked as a consultant in Govt. funded projects. His research interest includes Wireless Sensor Networks, Internet of things, Data Science, Machine Learning and Deep Learning.

Dr. Alexei Souri
Associate Professor, College of Computing & Data Science, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798.
Dr. Alexei Sourin was born in Moscow and received his M.Eng. and Ph.D. degrees in computer graphics from the Moscow Engineering Physics Institute, Russia (MEPhI) in 1983 and 1988, respectively. From 1983 to 1993 he was a researcher at MEPhI where he worked on different scientific visualization and computer animation projects. Since 1993 he held faculty positions at Nanyang Technological University (NTU) in Singapore, except a period from 1999 to 2000 when he was Associate Professor at Moscow Institute of Physics and Technology (MIPT). Currently he is a tenured Associate Professor with the College of Computing & Data Science at NTU. His research interests are in shape modeling, multi-modal interaction, music visualization, and automated visual inspection in manufacturing. Dr. Sourin published over 230 referred research papers and was invited to give talks to many scientific events. Dr. Sourin is also one of the pioneers of electronic education in Singapore. From 2012 to 2018, he was a Chair of the IFIP WG5.10 Computer Graphics and Virtual Worlds. Dr. Sourin is a Senior Member of IEEE and a member of ACM SIGGRAPH. He is an associate editor of several international journals including The Visual Computer (Springer) and Transactions on Computational Science (Springer). He was on the program committees of over 120 international conferences. He is a coordinator of the International Conferences on Cyberworlds for which he was also General and Program Chair in many years.

Asst. Prof Alvin Chan Guo Wei
Assistant Professor, College of Computing & Data Science, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798
Dr Alvin Chan’s research interests centre around making AI technologies safe and beneficial for humanity. These encompass topics such as deep learning for medical applications, adversarial learning and generative modelling.

Awarded the MOE START (Singapore Teaching and Academic Research Talent) fellowship, Dr Alvin Chan was a postdoctoral associate at the Massachusetts Institute of Technology and Harvard Medicine School. During that period, he focused on using deep learning technologies to enhance drug delivery applications. He graduated with a Computer Science Ph.D. from Singapore’s Nanyang Technological University in 2021, supported by the prestigious Nanyang President's Graduate Scholarship (NPGS).

He has contributed several publications in premier deep learning venues such as NeurIPS, ICLR, CVPR and ACL.

Book Details

ISBN: 9789367173244
Publisher: Geh Press
Number of Pages: 153
Dimensions: A4
Interior Pages: B&W
Binding: Paperback (Perfect Binding)
Availability: In Stock (Print on Demand)

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