CRC Press Digital Image Watermarking: Theoretical and Computational Advances (Intelligent Signal Processing and Data Analysis)

Product 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 About the Author 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 (IJS