Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
cетевое издание
issn 2310-6018

Method for automated control of hidden information in an image

idMaslova O.I. Zharkih A.A.   Shagrova G.V.   idStrukova V.G.

UDC УДК 004.94
DOI: 10.26102/2310-6018/2021.35.4.011

  • Abstract
  • List of references
  • About authors

The relevance of the study is due to the fact that protecting valuable documents from unauthorized copying and falsification is an important task in the modern world. In this regard, this article proposes a computational method for visualizing information hidden in an image, based on a modification of the known method for detecting and controlling latent images, the elements of which are highlighted by algorithms for varying the direction of lines and wavelet transformation of the document file. The difference between the developed method lies in the preliminary determination of the type of the analyzed image with an embedded hidden message, based on perceptual hash functions. Depending on the type of hidden information, the corresponding transformation of the image is performed using a previously defined wavelet characteristic of this type. This approach reduces rendering time by 3 times. An experiment was carried out to test the proposed method, during which a comparison was made of the visualization of digital images by the known method and the developed modified one with a predetermined type of image. As a result of the experiment, it was found that the computational method can reduce time costs by 3 times. However, this is not the final result, from the theoretical model it follows that the computational method for controlling hidden information in the image can reduce the time spent up to 6 times. This statement is planned to be confirmed experimentally using more types of digital images.

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Maslova Oksana Igorevna


North Caucasus Federal University

Stavropol, Russian Federation

Zharkih Andrey Anatolyevich
Candidate of Technical Sciences

North Caucasus Federal University

Stavropol, Russian Federation

Shagrova Galina Viacheslavovna
Doctor of Physico-Mathematical Sciences Professor

North Caucasus Federal University

Stavropol, Russian Federation

Strukova Viktoria Gennadievna


North Caucasus Federal University

Stavropol, Russian Federation

Keywords: hidden image, latent image, wavelet analysis, hidden information control method, hidden image recognition

For citation: Maslova O.I. Zharkih A.A. Shagrova G.V. Strukova V.G. Method for automated control of hidden information in an image. Modeling, Optimization and Information Technology. 2021;9(4). Available from: https://moitvivt.ru/ru/journal/pdf?id=1013 DOI: 10.26102/2310-6018/2021.35.4.011 (In Russ).


Full text in PDF

Received 25.06.2021

Revised 05.10.2021

Accepted 21.10.2021

Published 26.11.2021