A new DCT filters-based method to improve the resistance of ternary watermarks in audio files against attacks

R.Kh. Latypov, E.L. Stolov

Kazan Federal University, Kazan, 420008 Russia

ОРИГИНАЛЬНАЯ СТАТЬЯ

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DOI: 10.26907/2541-7746.2021.1.77-89

For citation: Latypov R.Kh., Stolov E.L. A new DCT filters-based method to improve the resistance of ternary watermarks in audio files against attacks. Uchenye Zapiski Kazanskogo Universiteta. Seriya Fiziko-Matematicheskie Nauki, 2021, vol. 163, no. 1, pp. 77–89. doi: 10.26907/2541-7746.2021.1.77-89.

Для цитирования: Latypov R.Kh., Stolov E.L. A new DCT filters-based method to improve the resistance of ternary watermarks in audio files against attacks // Учен. зап. Казан. ун-та. Сер. Физ.-матем. науки. – 2021. – Т. 163, кн. 1. – С. 77–89. – doi: 10.26907/2541-7746.2021.1.77-89.

Abstract

Watermarks used to verify the authorship of various works of art is a simple tool available to novice authors. This paper proposes a new technique to enhance the resistance of watermarks in audio files. As parts of a melody or image, leveraged watermarks can be recognized by human beings, even if dramatically corrupted. Nevertheless, increasing the quality of extracted watermarks is always helpful. This is achieved by new methods developed for damaged watermark restoration. In our methods, the source media is converted into a ternary code. The suggested technique is based on the restoration of a part of the source’s features via its ternary code. Discrete cosine transform matrix rows are used as the final impulse response filters. Some features of the source are extracted by applying a linear combination of these filters to the ternary watermark. We consider the two most frequently occurring attacks: filtering and converting into mp3 format.

Keywords: digital watermarks, ternary coding, audio files, discrete cosine transform

Acknowledgments. This study was supported by the Kazan Federal University Strategic Academic Leadership Program.

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Received January 19, 2021

 

Latypov Roustam Khafizovich, Doctor of Technical Sciences, Professor, Head of Department of System Analysis and Information Technologies

Kazan Federal University

ul. Kremlevskaya 18, Kazan, 420008 Russia E-mail: roustam.latypov@kpfu.ru

 

Stolov Evgeny L’vovich, Doctor of Technical Sciences, Professor, Leading Research Fellow of Research Laboratory of Computational Technologies and Computer Modeling

Kazan Federal University

ul. Kremlevskaya, 18, Kazan, 420008 Russia E-mail: ystolov@list.ru

 

 

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