Digital Watermarking and Steganography
«
"This book covers a wide range of the digital image data hiding field. Reversible and irreversible digital image watermarking techniques applied to spatial, frequency, and compressed domains are extensively presented. Especially, the author shows how intelligent techniques such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) can be applied to image watermarking. Also, machine learning techniques such as Support Vector Machines (SVMs), Artificial Neural Networks (ANNs), and Principle Component Analysis (PCA) applied to Steganalysis are considered. This book is highly recommended for students, researchers, and professionals who are interested and seeking for state-of-the-art and intelligent techniques in the watermarking and steganography field."
— Duc The Kieu, The University of the West Indies, Trinidad and Tobago"The materials covered by the book contain most of the important knowledge and techniques in the topic. The mentioned contents range from explanation of concepts to construction of processing systems. This comprehensive book should be of great interest to those learning watermarking and steganography."
»
— I-Cheng Chang, National Dong Hwa University, Taiwan
This book intends to provide a comprehensive overview on different aspects of mechanisms and techniques for information security. It is written for students, researchers, and professionals studying in the field of multimedia security and steganography. Les mer
Detaljer
- Forlag
- CRC Press
- Innbinding
- Paperback
- Språk
- Engelsk
- Sider
- 270
- ISBN
- 9780367656430
- Utgave
- 2. utg.
- Utgivelsesår
- 2020
- Format
- 23 x 16 cm
Anmeldelser
«
"This book covers a wide range of the digital image data hiding field. Reversible and irreversible digital image watermarking techniques applied to spatial, frequency, and compressed domains are extensively presented. Especially, the author shows how intelligent techniques such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) can be applied to image watermarking. Also, machine learning techniques such as Support Vector Machines (SVMs), Artificial Neural Networks (ANNs), and Principle Component Analysis (PCA) applied to Steganalysis are considered. This book is highly recommended for students, researchers, and professionals who are interested and seeking for state-of-the-art and intelligent techniques in the watermarking and steganography field."
— Duc The Kieu, The University of the West Indies, Trinidad and Tobago"The materials covered by the book contain most of the important knowledge and techniques in the topic. The mentioned contents range from explanation of concepts to construction of processing systems. This comprehensive book should be of great interest to those learning watermarking and steganography."
»
— I-Cheng Chang, National Dong Hwa University, Taiwan