Top

Scientific and Technical Information Processing

Published in:

01-12-2022

Hidden Data Embedding into Uninformative Subsets of Subband Image Projections

Authors: E. V. Bolgova, A. A. Chernomorets, E. V. Petrova, D. A. Chernomorets, D. V. Ursol

Published in: Scientific and Technical Information Processing | Issue 6/2022

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

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.

next article Ontology Application in Automating Regulatory Profile Forming for Software Certification

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Gribunin, V.G., Okov, I.N., and Turintsev, I.V., Tsifrovaya steganografiya (Digital Steganography), Moscow: Solon-Press, 2016.

Agranovskii, A.V., Steganografiya, tsifrovye vodyanye znaki i steganoanaliz (Steganography, Digital Watermarks, and and Stegananalysis), Moscow: Vuzovskaya Kniga, 2009.

Zhilyakov, E.G., Chernomorets, A.A., Bolgova, E.V., and Gahova, N.N., Investigation of the steganography stability in images, Nauchn. Ved. Belgorod. Gos. Univ. Ser.: Ekon. Inf., 2014, no. 1, pp. 168–174.

Konakhovich, G.F. and Puzyrenko, A.Yu., Komp’yuternaya steganografiya. Teoriya i praktika (Computer Steganography: Theory and Practice), Kiev: MK-Press, 2006.

Koch, E. and Zhao, J., Towards robust and hidden image copyright labeling, Proc. 1995 IEEE Workshop on Nonlinear Signal and Image Processing, Neos Marmaras, Greece,1995, IEEE, 1995.

Chernomorets, A.A. and Bolgova, E.V., About the accuracy of steganographic embedding in the image using method of relative replacement of DCT coefficients, Inf. Sist. Tekhnol., 2012, no. 6, pp. 125–131.

Smith, J.R. and Comiskey, B.O., Modulation and information hiding in images, Information Hiding, Anderson, R., Ed., Lecture Notes in Computer Science, vol. 1174, Berlin: Springer, 1996, pp. 207–226. https://doi.org/10.1007/3-540-61996-8_42CrossRef

Zhilyakov, E.G., Chernomorets, A.A., Belov, A.S., and Bolgova, E.V., On subband properties of images, Nauchn. Ved. Belgorod. Gos. Univ. Ser.: Ekon. Inf., 2013, no. 7, pp. 175–182.

Bolgova, E.V., Chernomorets, A.A., and Chernomorets, D.A., Subband image analysis in the cosine transform definition domain, Inf. Sist. Tekhnol., 2019, no. 6, pp. 5–11.

10.

Chernomorets, D.A., Bolgova, E.V., Chernomorets, A.A., and Barsuk, A.A., Images presentation based on subband cosine transform matrix eigenvectors basis, Nauchn. Rezul’tat. Inf. Tekhnol., 2019, vol. 4, no. 1, pp. 3–8. https://doi.org/10.18413/2518-1092-2019-4-1-0-1CrossRef

11.

Zhilyakov, E.G., Chernomorets, A.A., Bolgova, E.V., Petina, M.A., and Kovalenko, A.N., The properties and application of the cosine transform subband matrices, J. Adv. Res. Dynamical Control Syst., 2020, vol. 15, no. 5, pp. 1302–1313. https://doi.org/10.5373/JARDCS/V12SP5/20201890CrossRef

12.

Chernomorets, A.A., Bolgova, E.V., and Chernomorets, D.A., On quasi-subband matrices of cosine transform, Nauchn. Rezul’tat. Inf. Tekhnol., 2019, vol. 4, no. 3, pp. 11–19. https://doi.org/10.18413/2518-1092-2019-4-3-0-2CrossRef

Title: Hidden Data Embedding into Uninformative Subsets of Subband Image Projections
Authors: E. V. Bolgova
A. A. Chernomorets
E. V. Petrova
D. A. Chernomorets
D. V. Ursol
Publication date: 01-12-2022
Publisher: Pleiades Publishing
Published in: Scientific and Technical Information Processing / Issue 6/2022
Print ISSN: 0147-6882
Electronic ISSN: 1934-8118
DOI: https://doi.org/10.3103/S0147688222060016

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Other articles of this Issue 6/2022

Joint Use of Neural Networks and Evidence Theory Methods in Control and Diagnostic Fuzzy Systems

Application of Adapted Weighted Graphs for Solving the Problem of Flat-Trajectory Planning by the Potential Fields Method

System-Object Approach to Modeling Organizational Knowledge Considering General System-Level Patterns

Formation and Analysis of Sets of Informative Features of Objects by Pairs of Classes

Algebraic Model of Reflexive Problematic Statements

Developing an Ontology on the Basis of Graphs with Multiple and Heterotypic Connections

Premium Partner