Signal Processing

Download Data hiding fundamentals and applications : content security by Husrev T Sencar; Ramkumar Mahalingam.; Ali N Akansu PDF

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

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

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Each quantizer of the set is uniquely described by a set of reconstruction points that are nonoverlapping with other sets of reconstruction points. Therefore, each finite state of U is a sequence with values restricted to reconstruction values of the designated quantizers. The terms X and Xt are the embedding distortion due to quantization and the processing distortion, respectively. The codeword corresponding to a message is the distortion signal introduced into the host signal as a result of the embedding operation, S − C.

They proceeded to derive the capacity of this channel assuming an input alphabet X , an output alphabet Y , an auxiliary alphabet U , and a finite set C of side information, where X , Y , U , C ∈ N . 1) where pX (x) is the probability mass function of a random variable X, and I(X, Y ) is the mutual information between two random variables X and Y . Heegard et al. [41], also using this formulation, extended the idea to establish achievable storage rates for memory when defect information is given only to the encoder or the decoder and completely to the decoder but partially to the encoder.

In the figure, × and ◦ denote the reconstruction points associated with the quantizers corresponding to two watermark samples. 4 Codebook Generation for Data Hiding Methods 45 from being optimal when the channel noise level is low. , in order to embed the information symbol denoted by ◦ in a host signal coefficient that is at the far left of the threshold, an arbitrarily large embedding distortion needs to be introduced to translate it to the region R◦ ). On the contrary, the layout of the decision regions of the type II detector ensure reliable detection from all stego coefficients, albeit only up to channel distortions of power P.

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