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Computer Optics, 2017, Volume 41, Issue 5, Pages 743–755
DOI: https://doi.org/10.18287/2412-6179-2017-41-5-743-755
(Mi co445)
 

This article is cited in 1 scientific paper (total in 1 paper)

IMAGE PROCESSING, PATTERN RECOGNITION

Review of the current methods for robust image hashing

A. V. Kozachoka, S. A. Kopylova, R. V. Mescheriakovb, O. O. Evsyutinb

a Academy of the Federal Guard Service, Oryol, Russia
b Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia
Full-text PDF (292 kB) Citations (1)
References:
Abstract: The development of an Internet of things concept has led to an essential increase in the amount of data processed via the Internet. Multimedia data constitute a significant proportion of this information. This type of data often contains user’s personal information or copyright protected data. The issue of copyright protection of digital imagery has remained topical for the last decades. Traditional information protection tools cannot provide the required level of image protection from possible threats due to specific features of format representation. This article contains a comparative analysis of published research papers concerned with the robust image hashing as one of possible methods of copyright protection of digital imagery. It also includes a classification of robust image hashing methods, discussing their advantages and drawbacks, and their major characteristics. At the end of the article some directions of further research are outlined.
Keywords: image processing, data integrity, copyright protection, robust hashing, discrete cosines transform, discrete wavelet transform, Fourier transform, Zernike moments.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation 2.3583.2017/4.6
This work was financially supported by the Ministry of Education and Science of the Russian Federation as part of the state project TSUCSR in 2017-2019. (Project No. 2.3583.2017/4.6).
Received: 11.05.2017
Accepted: 16.08.2017
Document Type: Article
Language: Russian
Citation: A. V. Kozachok, S. A. Kopylov, R. V. Mescheriakov, O. O. Evsyutin, “Review of the current methods for robust image hashing”, Computer Optics, 41:5 (2017), 743–755
Citation in format AMSBIB
\Bibitem{KozKopMes17}
\by A.~V.~Kozachok, S.~A.~Kopylov, R.~V.~Mescheriakov, O.~O.~Evsyutin
\paper Review of the current methods for robust image hashing
\jour Computer Optics
\yr 2017
\vol 41
\issue 5
\pages 743--755
\mathnet{http://mi.mathnet.ru/co445}
\crossref{https://doi.org/10.18287/2412-6179-2017-41-5-743-755}
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  • https://www.mathnet.ru/eng/co445
  • https://www.mathnet.ru/eng/co/v41/i5/p743
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Optics
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    Abstract page:217
    Full-text PDF :91
    References:28
     
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