Blind audio watermarking based on parametric slant-hadamard transform and hessenberg decomposition

Pranab Kumar Dhar, Azizul Hakim Chowdhury, Takeshi Koshiba

Research output: Contribution to journalArticle

Abstract

Digital watermarking has been widely utilized for ownership protection of multimedia contents. This paper introduces a blind symmetric audio watermarking algorithm based on parametric Slant-Hadamard transform (PSHT) and Hessenberg decomposition (HD). In our proposed algorithm, at first watermark image is preprocessed to enhance the security. Then, host signal is divided into non-overlapping frames and the samples of each frame are reshaped into a square matrix. Next, PSHT is performed on each square matrix individually and a part of this transformed matrix of size mm is selected and HD is applied to it. Euclidean normalization is calculated from the 1st column of the Hessenberg matrix, which is further used for embedding and extracting the watermark. Simulation results ensure the imperceptibility of the proposed method for watermarked audios. Moreover, it is demonstrated that the proposed algorithm is highly robust against numerous attacks. Furthermore, comparative analysis substantiates its superiority among other state-of-the-art methods.

Original languageEnglish
Article number333
JournalSymmetry
Volume12
Issue number3
DOIs
Publication statusPublished - 2020 Mar 1

Keywords

  • Audio watermarking
  • Copyright protection
  • Euclidean normalization
  • Hessenberg decomposition
  • Parametric slant-hadamard transform

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Chemistry (miscellaneous)
  • Mathematics(all)
  • Physics and Astronomy (miscellaneous)

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