A Study of the Information Embedding Method into Raster Image Based on Interpolation

Daiyrbayeva E. Yerimbetova A. Nechta I. Merzlyakova E. Toigozhinova A. Turganbayev A.
October 2022 MDPI

Journal of Imaging
2022 #8 Issue 10

This article is devoted to the study of the improved neighbor mean interpolation (INMI) steganographic method. To date, no steganalysis of such a method of information embedding has been carried out. We implemented the INMI method of embedding messages in raster files and conducted a stegoanalysis on a set of 800 images of 225 × 225 size. Experimentally, we found that with this embedding method, the maximum container capacity is 21% and that it depends on the contents of the container. It is established that only 60 files out of 800 actually have the maximum capacity. We presented the calculation of the Type I error and the percentage of information detection in the obtained containers by the regular–singular (RS) method. The results showed that the considered steganographic algorithm is resistant to RS steganalysis and is comparable to the stegosystem of the permutation method investigated in one of our previous articles.

image , interpolation , LSB steganography , RS analyze , secret message

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Institute of Information and Computational Technologies Committee of Science of the Ministry of Education and Science of the Republic of Kazakhstan, Almaty, 050010, Kazakhstan
Institute of Automation and Telecommunication, Academy of Logistics and Transport, Almaty, 050012, Kazakhstan
Institute of Automation and Information Technologies of the Satbayev University, Almaty, 050013, Kazakhstan
Department of Applied Mathematics and Cybernetics, Siberian State University of Telecommunications and Information Science, Novosibirsk, 630102, Russian Federation

Institute of Information and Computational Technologies Committee of Science of the Ministry of Education and Science of the Republic of Kazakhstan
Institute of Automation and Telecommunication
Institute of Automation and Information Technologies of the Satbayev University
Department of Applied Mathematics and Cybernetics

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