SVD-Based adaptive QIM watermarking on stereo audio signals

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

Research output: Contribution to journalArticle

14 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 1

Fingerprint

Audio watermarking
Watermarking
Singular value decomposition
Signal processing

All Science Journal Classification (ASJC) codes

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

Cite this

Hwang, Min Jae ; Lee, Jeesok ; Lee, Misuk ; Kang, Hong-Goo. / SVD-Based adaptive QIM watermarking on stereo audio signals. In: IEEE Transactions on Multimedia. 2018 ; Vol. 20, No. 1. pp. 45-54.
@article{2255d11e2de04539b1b9621f1f10bf38,
title = "SVD-Based adaptive QIM watermarking on stereo audio signals",
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.",
author = "Hwang, {Min Jae} and Jeesok Lee and Misuk Lee and Hong-Goo Kang",
year = "2018",
month = "1",
day = "1",
doi = "10.1109/TMM.2017.2721642",
language = "English",
volume = "20",
pages = "45--54",
journal = "IEEE Transactions on Multimedia",
issn = "1520-9210",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",

}

SVD-Based adaptive QIM watermarking on stereo audio signals. / Hwang, Min Jae; Lee, Jeesok; Lee, Misuk; Kang, Hong-Goo.

In: IEEE Transactions on Multimedia, Vol. 20, No. 1, 01.01.2018, p. 45-54.

Research output: Contribution to journalArticle

TY - JOUR

T1 - SVD-Based adaptive QIM watermarking on stereo audio signals

AU - Hwang, Min Jae

AU - Lee, Jeesok

AU - Lee, Misuk

AU - Kang, Hong-Goo

PY - 2018/1/1

Y1 - 2018/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85021882654&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85021882654&partnerID=8YFLogxK

U2 - 10.1109/TMM.2017.2721642

DO - 10.1109/TMM.2017.2721642

M3 - Article

VL - 20

SP - 45

EP - 54

JO - IEEE Transactions on Multimedia

JF - IEEE Transactions on Multimedia

SN - 1520-9210

IS - 1

ER -