SVD-Based adaptive QIM watermarking on stereo audio signals

Min Jae Hwang, Jeesok Lee, Misuk Lee, Hong Goo Kang

Research output: Contribution to journalArticle

35 Citations (Scopus)

Abstract

This paper proposes a blind digital audio watermarking algorithm that utilizes the quantization indexmodulation (QIM) and the singular value decomposition (SVD) of stereo audio signals. Conventional SVD-based blind audio watermarking algorithms lack physical interpretation since the matrix construction method for the input matrix for SVD is heuristically defined. However, in the proposed approach, because the SVD is directly applied to the stereo input signals, the resulting decomposed elements convey a conceptually meaningful interpretation of the original audio signal. As the proposed approach effectively utilizes the ratio of singular values, the embedded watermark is highly imperceptible and robust against volumetric scaling attacks; most QIM-based watermarking schemes are weak to these types of attacks. Experimental results under well-known practical attacks, such as compressions, resampling, and various types of signal processing, confirm that the proposed algorithm performs well compared to conventional audio watermarking algorithms.

Original languageEnglish
Pages (from-to)45-54
Number of pages10
JournalIEEE Transactions on Multimedia
Volume20
Issue number1
DOIs
Publication statusPublished - 2018 Jan

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Media Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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