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

Pranab Kumar Dhar*, Azizul Hakim Chowdhury, Takeshi Koshiba


研究成果: Article査読

5 被引用数 (Scopus)


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.

出版ステータスPublished - 2020 3月 1

ASJC Scopus subject areas

  • コンピュータ サイエンス(その他)
  • 化学(その他)
  • 数学 (全般)
  • 物理学および天文学(その他)


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