SUBINTERVAL HIDDEN DATA EMBEDDING INTO IMAGES WITHIN THE COSINE TRANSFORM
For hidden control of the use and distribution of multimedia data, the methods of control data hidden embedding into images are currently used. In this paper we propose the method of data hidden embedding based on subinterval image analysis within the cosine transform. The proposed approach is based on the use of subintervals matrices for computing the image cosine transform energy share in the given frequency subintervals, which are built by splitting the domain of the cosine transform. In the paper we describe the expressions for the construction of the frequency subintervals, and the relationships for calculating values of subinterval matrices elements within the cosine transform. A method for selecting subintervals used for hidden embedding is developed based on the analysis of the distribution of image- container energy shares across the subintervals. A method for bit data embedding is developed based on modifying the projections of the image-container onto eigenvectors corresponding to the subinterval matrices eigenvalues that are close to one. Based on a computational experiment, the effectiveness of the developed method of control data subinterval hidden embedding into images within the cosine transform is demonstrated from the positions of secrecy, the volume of embedded information and resistance to external influences.