Invariant representation of information and information quantity in image-processing tasks

A model of a signal (image) containing the information codes in its own digital virtual memory independent of stretching, packing according to intensity, and other prescribed image transformations is proposed. Virtual memory cells contain pixel values of information representation. Storage elements of virtual memory cells are classified as either fixed or modifiable so that arbitrary variation of the latter does not cause image destruction. The number of modifiable storage elements juxtaposed with image pixels is regarded as the integer-valued information quantity. A comparison of image information quantity estimations is curried out. The applications of the model to image recognition, document protection, and other tasks are discussed. The text was submitted by the author in English. Mikhail V. Kharinov. Born 1953. Graduated from Leningrad State University in 1978. Received candidateís degree in 1993. Senior researcher at and St. Petersburg Institute of Informatics 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 the patents.