Interpretation of image information for computer calculations

A model of a digital image as a sequence of its mappings to a sum of invariant and variable representations is proposed. The invariant representation is independent of the changes in the variable representation in certain calculated limits and is interpreted as a virtual carrier of the variable representation (message). The information quantity (natural, intrinsic, and noise) is interpreted sensu stricto with respect to the quantity of the arbitrary digital data of the message transferred by the image. A characteristic application involves the solution of the problem on the embedding of digital information into the image via two independent communication channels. Mikhail V. Kharinov. Born 1953. Graduated from Leningrad State University in 1978. Received candidate’s degree in 1993. Senior researcher at the St. Petersburg Institute of Information Science and Automation, Russian Academy of Sciences. Scientific interests: analysis of numerical information, system of numerical representation, hierarchical data structures, idempotent transformations, unified algorithms for processing of images and audio signals, color transformation of images. Author of 60 papers, including a patent.