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Digital Image Watermarking : Theoretical and Computational Advances / by Surekha Borra, Rohit Thanki and Nilanjan Dey.

By: Borra, Surekha [author.].
Contributor(s): Thanki, Rohit [author.] | Dey, Nilanjan [author.] | Taylor and Francis.
Material type: materialTypeLabelBookSeries: Intelligent Signal Processing and Data Analysis: Publisher: Boca Raton, FL : CRC Press, 2018Edition: First edition.Description: 1 online resource (174 pages) : 42 illustrations, text file, PDF.Content type: text Media type: computer Carrier type: online resourceISBN: 9780429423291(e-book : PDF).Subject(s): COMPUTERS / Security / General | TECHNOLOGY & ENGINEERING / Imaging Systems | Bio-inspired Algorithim | Computer Graphics | Hardware Implementation | Machine Learning | Security Auditing | Computer security -- Technological innovations | Watermarks -- Technological innovations | Marks of origin -- Technological innovations | Image processing -- Digital techniquesGenre/Form: Electronic books.Additional physical formats: Print version: : No titleDDC classification: 005.8 Online resources: Click here to view Also available in print format.
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.
Abstract: 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.
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Includes bibliographical references and index.

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.

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.

Also available in print format.

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