Digital Image Watermarking
Theoretical and Computational Advances
1st Edition
Published on 7. December 2018
174 pages
978-0-429-75157-8 (ISBN)
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
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
More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Illustrations
21 Tables, black and white; 21 Illustrations, black and white
File size
4,78 MB
ISBN-13
978-0-429-75157-8 (9780429751578)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Surekha Borra | Rohit Thanki | Nilanjan Dey
Digital Image Watermarking
Theoretical and Computational Advances
Book
09/2020
1st Edition
CRC Press
€32.00
Shipment within 15-20 days
Surekha Borra | Rohit Thanki | Nilanjan Dey
Digital Image Watermarking
Theoretical and Computational Advances
Book
12/2018
1st Edition
CRC Press
€92.20
Shipment within 10-20 days
Persons
Surekha Borra, Rohit Thanki, Nilanjan Dey
Content
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
