UID:
almahu_9949880872402882
Format:
1 online resource (175 pages).
Edition:
First edition.
ISBN:
0429423292
,
9780429423291
,
0429751567
,
9780429751561
,
0429751575
,
9780429751578
Series Statement:
Intelligent Signal Processing and Data Analysis
Content:
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.
Note:
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.
Additional Edition:
ISBN 1-138-39063-1
Language:
English
DOI:
10.1201/9780429423291.
URL:
https://www.taylorfrancis.com/books/9780429423291
