Design of a blind quantization-based audio watermarking scheme using singular value decomposition

Vivekananda Bhat K, Ashok Kumar Das, Jong Hyouk Lee

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Watermarking is a mechanism in which owner of the audio file hides the watermark information into a audio for various applications. The identity of the owner of the audio file is hidden in the audio, which is known as watermark. In this article, a quantization-based audio watermarking using singular value decomposition (SVD) is proposed. The original audio signal is converted into non overlapping two dimensional matrix blocks. The SVD is applied to each block. The watermark is embedded into audio signal by quantization of largest singular value of the block. The watermark is extracted blindly without using original audio signal. Experimental results show the watermark's high imperceptibility in the audio signal and good performance against Stirmark as well as traditional signal processing attacks. Compared with other audio watermarking methods, our method has higher embedding capacity and robust against various traditional signal processing attacks.

Original languageEnglish
Article numbere5253
JournalConcurrency Computation
DOIs
Publication statusAccepted/In press - 01-01-2019

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Computer Science Applications
  • Computer Networks and Communications
  • Computational Theory and Mathematics

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