Digital Image Watermarking: Theoretical and Computational Advances, 1st Edition (Hardback) book cover

Digital Image Watermarking

Theoretical and Computational Advances, 1st Edition

By Surekha Borra, Rohit Thanki, Nilanjan Dey

CRC Press

160 pages | 21 B/W Illus.

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pub: 2018-12-11
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Description

  • The Book presents an overview of newly developed watermarking techniques in various independent and hybrid domains
  • Covers the basics of digital watermarking, its types, domain in which it is implemented and the application of machine learning algorithms onto digital watermarking
  • Reviews hardware implementation of watermarking
  • Discusses optimization problems and solutions in watermarking with a special focus on bio-inspired algorithms
  • Includes a case study along with its MATLAB code and simulation results
  • Table of Contents

    1. Introduction 2. Domain Specific Watermarking Techniques 3. Watermarking Using Machine Learning and Bio-Inspired Algorithms 4. Hardware Implementation of Watermarking 5. Applied Examples and Future Perspectives 6. Case Study 7. References

    About the Authors

    Surekha Borra is currently a Professor in the Department of ECE and Chief Research Coordinator, K. S. Institute of Technology, Bangalore, India. She earned her Doctorate in Copyright Protection of Images from Jawaharlal Nehru Technological University, Hyderabad, India. Her research interests are in the areas of Image and Video Analytics, Machine Learning, Biometrics, Biomedical Signal and Remote Sensing. She has published 4 books, 12 book chapters and 40 research papers to her credit in refereed & indexed journals, and conferences at international level. Her international recognition includes her professional memberships & services in refereed organizations, programme committees, editorial & review boards, wherein she has been a guest editor for 4 journals and reviewer for journals published by IEEE, IET, Elsevier, Taylor & Francis, Springer, IGI-Global etc,. She received several research grants from Institution of Engineers (India) and Karnataka State Government, India. She has received Woman Achiever's Award from The Institution of Engineers (India), for her prominent research and innovative contribution (s)., Distinguished Educator & Scholar Award for her contributions to teaching and scholarly activities, Young Woman Achiever Award for her contribution in Copyright Protection of Images.

    Rohit Thanki received his Ph.D. in electronics and communication engineering from C. U. Shah University; M.E. in communication engineering from Sardar Patel University and B.E. in electronics and communication engineering from Saurashtra University, India. His research interests in the areas of Digital Image Processing, Digital Image Processing, Multimedia Security, Digital Watermarking, Compressive Sensing, Medical Image Analysis, Biometric Security, Machine Learning and Deep Learning. He has published 8 books with Springer. He has published 9 book chapters in edited book which are published by CRC press, Springer, Elsevier and IGI Global. He has also published many papers in refereed journals and in international conferences. His publications are indexed in web of science (SCI, SCIE & ESCI), Scopus, ACM Digital Library and IEEE Xplore. He is also a reviewer of IEEE Consumer Electronics Magazine, IET Image Processing, Signal Processing: Image Communication, Imaging Science Journal and Computers & Electrical Engineering.

    Nilanjan Dey, PhD. is currently associated with Department of Information Technology, Techno India College of Technology, Kolkata, W.B., India. He holds an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA and Research Scientist of Laboratory of Applied Mathematical Modeling in Human Physiology, Territorial Organization of- Scientific and Engineering Unions, BULGARIA. He is an Associate Researcher of Laboratoire RIADI, University of Manouba, TUNISIA. He is the Associated Member of Wearable Computing Research lab, University of Reading, London, UK.

    His research topic is Medical Imaging, Soft computing, Data mining, Machine learning, Rough sets, Computer Aided Diagnosis, Atherosclerosis. He has 25 books and 300 international conferences and journal papers. He is the Editor-in-Chief of International Journal of Ambient Computing and Intelligence (IGI Global), US (Scopus, ESCI, ACM dl and DBLP listed), International Journal of Rough Sets and Data Analysis (IGI Global), US. Co- Editor-in-chief of International Journal of Synthetic Emotions (IJSE), IGI Global, US, and International Journal of Natural Computing Research (IGI Global), US. Series Editor of Advances in Geospatial Technologies (AGT) Book Series, (IGI Global), US, Series Editor of Advances in Ubiquitous Sensing Applications for Healthcare (AUSAH), Elsevier. Executive Editor of International Journal of Image Mining (IJIM), Inderscience, and Associated Editor of IEEE Access journal and the International Journal of Service Science, Management, Engineering and Technology, IGI Global. He is a life member of IE, UACEE, ISOC. He is associated with many International Conferences as a Chair (ITITS 2017-China, WS4 2017- London, INDIA 2017-Vietnam etc.).

    About the Series

    Intelligent Signal Processing and Data Analysis

    In the current era of huge amount of data types and measurement in all sectors and applications, the same requires automated capturing, data analysis and evaluation methods. Consequently, sophisticated intelligent approaches become essential as flexible and powerful tools based on different signal processing algorithms for multiple applications. Intelligent signal processing (ISP) methods are progressively swapping the conventional analog signal processing techniques in several domains, such as speech analysis and processing, biomedical signal analysis radar and sonar signal processing, and processing, telecommunications, and geophysical signal processing. The main focus is this book series is to find out the new trends and techniques in the intelligent signal processing and data analysis leading to scientific breakthroughs in applied applications. Artificial fuzzy logic, deep learning, optimization algorithms, and neural networks are presented for signal processing applications. The series main emphasis is to offer both extensiveness diversity of selected intelligent signal processing and depth in the selected state-of-the-art data analysis techniques for solving real world problems.

    Learn more…

    Subject Categories

    BISAC Subject Codes/Headings:
    COM012000
    COMPUTERS / Computer Graphics
    COM053000
    COMPUTERS / Security / General
    TEC015000
    TECHNOLOGY & ENGINEERING / Imaging Systems