Cantitate/Preț
Produs
Total produse
Vezi coșul
Digital Watermarking and Steganography: Fundamentals and Techniques de Frank Y. Shih

Digital Watermarking and Steganography: Fundamentals and Techniques

Autor Frank Y. Shih
en Limba Engleză Hardback – 17 dec 2007
Every day millions of people capture, store, transmit, and manipulate digital data. Unfortunately free access digital multimedia communication also provides virtually unprecedented opportunities to pirate copyrighted material. Providing the theoretical background needed to develop and implement advanced techniques and algorithms, Digital Watermarking and Steganography:
  • Demonstrates how to develop and implement methods to guarantee the authenticity of digital media
  • Explains the categorization of digital watermarking techniques based on characteristics as well as applications
  • Presents cutting-edge techniques such as the GA-based breaking algorithm on the frequency-domain steganalytic system
The popularity of digital media continues to soar. The theoretical foundation presented within this valuable reference will facilitate the creation on new techniques and algorithms to combat present and potential threats against information security.
Citește tot Restrânge

Preț: 96114 lei

Preț vechi: 120142 lei
-20%

Puncte Express: 1442
Paperback 44645 lei
Hardback 96114 lei

Carte tipărită la comandă

Livrare economică 18 septembrie-02 octombrie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9781420047578
ISBN-10: 1420047574
Pagini: 200
Ilustrații: 137 black & white illustrations, 15 black & white tables, 85 black & white halftones
Dimensiuni: 156 x 234 x 14 mm
Greutate: 0.41 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press

Public țintă

Undergraduate

Cuprins

Introduction. Classification in Digital Watermarking. Mathematical Preliminaries. Digital Watermarking Fundamentals. Watermarking Attacks and Tools. Combinational Domain Digital Watermarking. Genetic Algorithm Based Digital Watermarking. Adjusted-Purpose Digital Watermarking. Robust High Capacity Digital Watermarking. Introduction to Digital Steganography. Steganalysis : Attacks Against Steganography. Genetic Algorithm Based Steganography.

Descriere

In addition to providing students, researchers, and other professionals with mechanical information regarding digital watermarking and steganography, this work also provides them with the framework needed to develop extensive advanced algorithms. It shows how robust high-capacity watermarking techniques can be successfully used to enlarge the hiding capacity while maintaining the robustness of the watermark. Several robust algorithms are presented to illustrate the framework and provide assistance in understanding and implementing fundamental principles. Alternatives to traditional strategies are presented. The principles taught are illustrated with plentiful graphs and examples in order to simplify the problems and make highly complicated theories readily understandable.

Notă biografică

Frank Y. Shih received the B.S. degree from National Cheng-Kung University, Taiwan, in 1980, the M.S. degree from the State University of New York at Stony Brook, in 1984, and the Ph.D. degree from Purdue University, West Lafayette, Indiana, in 1987, all in Electrical and Computer Engineering. He served as departmental acting chair, associate chair, director, principal investigator, journal editor, and conference chair. Currently, he is a professor jointly appointed in the Department of Computer Science, the Department of Electrical and Computer Engineering, and the Department of Biomedical Engineering at New Jersey Institute of Technology, Newark, NJ. Dr. Shih also serves as the Director of Computer Vision Laboratory. He held a visiting professor position at Princeton University, Columbia University, National Taiwan University, National Institute of Informatics, Tokyo, and Conservatoire National Des Arts Et Metiers, Paris.


Dr. Shih is a well-known scholar internationally, and he serves as the Editor-in-Chief for the Inter. Journal of Multimedia Intelligence and Security. In addition, he is on the Editorial Board of the International Journal of Pattern Recognition, the International Journal of Pattern Recognition Letters, the International Journal of Pattern Recognition and Artificial Intelligence, the International Journal of Recent Patents on Engineering, the International Journal of Recent Patents on Computer Science, the International Journal of Internet Protocol Technology, and the Journal of Internet Technology. He served as a steering member, committee member, and session chair for numerous professional conferences and workshops. Dr. Shih has received numerous grants from the National Science Foundation, Navy and Air Force, and Industry. He was the recipient of Research Initiation Award of NSF and Board of Overseers Excellence in Research Award of NJIT.


Furthermore, Dr. Shih has authored three books: "Digital Watermarking and Steganography", "Image Processing and Mathematical Morphology", and "Image Processing and Pattern Recognition." He also edited one book: "Multimedia Security: Watermarking, Steganography, and Forensics." He has published 122 journal papers, 96 conference papers, and 22 book chapters. His current research interests include image processing, computer vision, watermarking and steganography, digital forensics, sensor networks, pattern recognition, bioinformatics, information security, robotics, fuzzy logic, and neural networks.

Recenzii

"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