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2. Applications and Properties
3. Models of Watermarking
4. Message Coding
5. Watermarking with Side Information
6. Structured Dirty-Paper Codes
7. Analyzing Errors
8. Using Perceptual Models
9. Robust Watermarking
10. Watermark Security
11. Content Authentication
12. Steganography and Steganalysis
Digital audio, video, images, and documents are flying through cyberspace to their respective owners. Unfortunately, along the way, individuals may choose to intervene and take this content for themselves. Digital watermarking and steganography technology greatly reduces the instances of this by limiting or eliminating the ability of third parties to decipher the content that he has taken. The many techiniques of digital watermarking (embedding a code) and steganography (hiding information) continue to evolve as applications that necessitate them do the same. The authors of this second edition provide an update on the framework for applying these techniques that they provided researchers and professionals in the first well-received edition. Steganography and steganalysis (the art of detecting hidden information) have been added to a robust treatment of digital watermarking, as many in each field research and deal with the other. New material includes watermarking with side information, QIM, and dirty-paper codes. The revision and inclusion of new material by these influential authors has created a must-own book for anyone in this profession.
- This new edition now contains essential information on steganalysis and steganography
- New concepts and new applications including QIM introduced
- Digital watermark embedding is given a complete update with new processes and applications
Computer engineers, government agencies, digital rights managers, network security managers, producers of electronic content, researchers, students
- No. of pages:
- © Morgan Kaufmann 2008
- 13th November 2007
- Morgan Kaufmann
- Hardcover ISBN:
- eBook ISBN:
Ingemar J. Cox holds a B.Sc. from University College London and a Ph.D. from Oxford University. He worked at AT&T Bell Labs from 1984 until 1989 and in 1989 joined NEC Research Institute as a senior research scientist. From 1997 to 1999, he served as CTO of Signafy, an NEC subsidiary responsible for commercialization of watermarking, In 1999, he returned to the NEC Research Institute as a Research Fellow.
Professor, University College, London, U.K.
Matthew L. Miller began working in graphics and image processing at AT&T Bell Labs in 1979. He obtained a B.A. in cognitive science from the University of Rochester in 1986, and has subsequently written several commercial software applications and delivered lecture courses at a number of universities in Europe. Since 1993, he has worked as a researcher at NEC.
NEC, Princeton, NJ, U.S.A.
Jeffrey A. Bloom, a researcher in digital watermarking at the Sarnoff Corporation, began working in the field in 1998 at Signafy, Inc. and later at NEC Research Institute. He holds B.S. and M.S. degrees in electrical engineering from Worcester Polytechnic Institute and a Ph.D. from the University of California, Davis. Dr. Bloom has expertise in the areas of signal and image processing, image and video compression, and human visual models.
Thomson, Princeton, NJ, U.S.A.
SUNY Binghamton, Binghamton, NY, U.S.A.
Hewlett-Packard Labs, Palo Alto, CA, U.S.A.
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