Hidden Data Embedding into Uninformative Subsets of Subband Image Projections
Е.В. Болгова, А. А. Черноморец, E. V. Petrova, Daria A. Chernomorets, Денис Владимирович Урсол · Scientific and Technical Information Processing · 2022
Abstract In this paper, we propose a method of subband hidden data embedding in images that can be applied to solve the actual problem of control over the distribution and use of images in information and telecommunication systems. The method is based on changing the values of subband projections of container images onto the eigenvectors of subband cosine-transformation matrices corresponding to a specified two-dimensional interval of spatial frequencies. A decision rule for choosing uninformative subsets of subband projections that can be used for hidden embedding is proposed. Comparative computational experiments were performed to estimate the distortions of container images during the data embedding based on the developed and other known methods. In some cases, the developed method of hidden subband embedding is shown to have an advantage in the secrecy of data embedding in images and allows them to be embedded without causing significant distortion of container images.