ESTIMATION OF THE HIDDEN EMBEDDED DATA VOLUME IN UNINFORMATIVE SUBSETS OF SUBBAND PROJECTIONS WITHIN THE IMAGES COSINE TRANSFORMATION
The paper considers the problem of hidden embedding of significant data amounts into images, which often makes it possible to increase the efficiency of the procedure for monitoring the use and distribution of images. It is proposed to perform the hidden embedding of the data, presented in binary form, on the basis of changing the uninformative projections of the image-container onto the eigenvectors of the subband cosine transform matrices. Revealing uninformative projections allows one to take into account the frequency properties of individual images, which provides an adaptive hidden embedding of significant data amounts without causing significant distortions of image-containers, which is illustrated by the results of computational experiments. The paper also carried out comparative studies of the results of applying the proposed method of subband hidden embedding and the well-known Koch-Zhao and spectrum spreading methods, demonstrating the advantages of the proposed method in terms of the embedded data volumes and the amount of distortion of image-containers.