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Industrial Automatic Control Systems and Controllers

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Generalized Algorithm of Digital Images with Steganography Information Search
Ivanov V.A. Dvilyanskiy A.A. Radaev S.V.

A generalized algorithm for identification of digital images from the built steganographic information. The expediency of application of the Bayesian decision rules for comparing the likelihood ratio to a certain threshold in a normal distribution characteristics. As a decision criterion for the classification of digital images stego information suggested the Neyman-Pearson. Performance criteria of the search algorithm is selected condition minimize the probability of false alarm for a given probability of detection, the quality of the generated decision rules is completely determined by the probability of erroneous decisions, allowed for the classification of digital images. The article also shows the procedure for determining the decision threshold, and scans of the proposed algorithm to converge.

Keywords: digital image; steganographic information; Bayes rule; likelihood ratio; the Neyman-Pearson; Receiver operating characteristic.

Contacts: E-mail: advil@mail.ru

Pp. 49-56.

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