Get Data hiding fundamentals and applications : content security PDF

By Husrev T Sencar; Ramkumar Mahalingam.; Ali N Akansu

ISBN-10: 0080488668

ISBN-13: 9780080488660

ISBN-10: 1417544309

ISBN-13: 9781417544301

Cutting-edge insurance of electronic content material safeguard strategies! Preliminaries; Contents; 1. advent; 2. Frameworks for info Hiding; three. verbal exchange with facet details and information Hiding; four. variety I (Linear) facts Hiding; five. kind II and sort III (Nonlinear) info Hiding tools; 6. complex Implementations; 7. significant layout concerns; eight. info Hiding purposes; Appendices; Bibliography; Index

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Husrev T Sencar; Ramkumar Mahalingam.; Ali N Akansu's Data hiding fundamentals and applications : content security PDF

State of the art assurance of electronic content material protection options! Preliminaries; Contents; 1. advent; 2. Frameworks for facts Hiding; three. communique with aspect details and knowledge Hiding; four. variety I (Linear) information Hiding; five. kind II and kind III (Nonlinear) information Hiding tools; 6. complicated Implementations; 7.

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The receiver determines the element of the codebook that is “closest” to the corrupted vector W = W +Z in order to obtain an estimate of the transmitted symbol. 18 CHAPTER 2 Frameworks for Data Hiding E D = = = = Figure 2-4 Splitting of E and D into two independent parts. Let us now assume that the encoder E and decoder D can be separated into two independent parts as shown in Fig. 2-4. In other words, the encoder E first maps the message m to a codeword W, which is in turn embedded in C by the embedder E .

Therefore, the overall hiding and detection scheme illustrated in Fig. 2-5 can be described as W = W (m) S = E (C, W) W = D(Y) embedding, m ˆ = W −1 (W) detection. 3 Relationship Between Communications and Signal Processing Frameworks W m S + ^ W Y E m ^ m D C Figure 2-5 19 Z~ The data hiding channel with constrained embedder and detector. W Communication Channel ^ W ^ m Figure 2-6 Equivalent communication channel. As far as the signaling scheme (W , W −1 ) is concerned, the entire dashed box in Fig.

Similarly, in [37] the watermark signal energy is properly shaped to compensate for the host signal interference at the detector. This is achieved by designing the weighting as a function of the projection of the host signal onto the spreading sequence so that at the detector, the host signal’s effect is diminished. This Page Intentionally Left Blank CHAPTER Communication with Side Information and Data Hiding Shannon [38] introduced the first analysis of discrete memoryless channels with side information, in the form of varying channel states from a finite set, causally known to the encoder.

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Data hiding fundamentals and applications : content security in digital media by Husrev T Sencar; Ramkumar Mahalingam.; Ali N Akansu


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