On the method of subinterval data hidden embedding in images

Author(s):  E.V. Bolgova, Belgorod State National Research University, Belgorod, Russia, bolgova_e@bsu.edu.ru

A.A. Chernomorets, Dr., associate Professor, Belgorod State National Research University, Belgorod, Russia, chernomorets@bsu.edu.ru

Issue:  Volume 45, №1

Rubric:  Infocommunication technologies

Annotation:  In this article we consider the method of secret data embedding based on transformations of the container image using the apparatus of subinterval matrices of the cosine transform. The developed method is based on the analysis of subsets of projections of the container image onto the eigenvectors of subinterval matrices. The results of computational experiments of projections subsets partitioning into informational and noninformation subsets show that when choosing different significance levels, it is possible to obtain a different numbers of information and non-informational subsets of projections. In this method the embedding/extracting of information into non-informational subsets of images projections onto eigenvectors of subinterval matrices is proposed to implement on the basis of a relative change in the values of given projections. The embedded information is represented by a sequence of zeros and ones. To test the workability of the developed method, computational experiments were carried out, which showed that the developed embedding method allows data recovery without distortion, and minor distortions of the container image containing the embedded data

Keywords:  subinterval matrices, embedding, spatial frequencies interval, eigenvalues subinterval matrices, embedding, spatial frequencies interval, eigenvalues, image projection, eigenvectors.

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