Audio watermarking robust against time-scale modification and MP3 compression

Shijun Xiang, Hyong Joong Kim, Jiwu Huang

Research output: Contribution to journalArticle

72 Citations (Scopus)

Abstract

In continuation to earlier work where the problem of time-scale modification (TSM) has been studied [S. Xiang, J. Huang, R. Yang, Time-scale invariant audio watermarking based on the statistical features in time domain, in: Proceedings of the 8th Information Hiding Workshop (IH 2006), Lecture Notes in Computer Science, vol. 4437, Springer, Berlin, pp. 93-108] by modifying the shape of histogram extracted from the time domain, here we consider the additional ingredient of resisting common signal processing operations, such as MP3 compression. In other words, we study the problem of the watermark against both TSM and lossy compression. To this end, in this paper we transfer the shape of audio histogram in the time domain to the low-frequency subband by: (i) segmenting an audio signal into portions in reference to the bin width of the time-domain histogram, (ii) concatenating the portions in each bin, and (iii) DWT filtering the concatenation of the portions in each bin. The watermark is inserted by shaping the histogram after the DWT by reassigning population in each group of three consecutive bins. Extensive testing shows that in comparison with the time-domain scheme [S. Xiang, J. Huang, R. Yang, Time-scale invariant audio watermarking based on the statistical features in time domain, in: Proceedings of the 8th Information Hiding Workshop (IH 2006), Lecture Notes in Computer Science, vol. 4437, Springer, Berlin, pp. 93-108], the proposed DWT-based watermarking method is more robust to TSM, MP3 compression, etc.

Original languageEnglish
Pages (from-to)2372-2387
Number of pages16
JournalSignal Processing
Volume88
Issue number10
DOIs
Publication statusPublished - 2008 Oct 1

Fingerprint

Audio watermarking
Bins
Computer science
Watermarking
Signal processing
Testing

Keywords

  • Audio watermarking
  • DWT
  • Histogram
  • MP3 compression
  • TSM

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition

Cite this

Audio watermarking robust against time-scale modification and MP3 compression. / Xiang, Shijun; Kim, Hyong Joong; Huang, Jiwu.

In: Signal Processing, Vol. 88, No. 10, 01.10.2008, p. 2372-2387.

Research output: Contribution to journalArticle

Xiang, Shijun ; Kim, Hyong Joong ; Huang, Jiwu. / Audio watermarking robust against time-scale modification and MP3 compression. In: Signal Processing. 2008 ; Vol. 88, No. 10. pp. 2372-2387.
@article{e0e0ffb6b717448c8a69a822c29add4d,
title = "Audio watermarking robust against time-scale modification and MP3 compression",
abstract = "In continuation to earlier work where the problem of time-scale modification (TSM) has been studied [S. Xiang, J. Huang, R. Yang, Time-scale invariant audio watermarking based on the statistical features in time domain, in: Proceedings of the 8th Information Hiding Workshop (IH 2006), Lecture Notes in Computer Science, vol. 4437, Springer, Berlin, pp. 93-108] by modifying the shape of histogram extracted from the time domain, here we consider the additional ingredient of resisting common signal processing operations, such as MP3 compression. In other words, we study the problem of the watermark against both TSM and lossy compression. To this end, in this paper we transfer the shape of audio histogram in the time domain to the low-frequency subband by: (i) segmenting an audio signal into portions in reference to the bin width of the time-domain histogram, (ii) concatenating the portions in each bin, and (iii) DWT filtering the concatenation of the portions in each bin. The watermark is inserted by shaping the histogram after the DWT by reassigning population in each group of three consecutive bins. Extensive testing shows that in comparison with the time-domain scheme [S. Xiang, J. Huang, R. Yang, Time-scale invariant audio watermarking based on the statistical features in time domain, in: Proceedings of the 8th Information Hiding Workshop (IH 2006), Lecture Notes in Computer Science, vol. 4437, Springer, Berlin, pp. 93-108], the proposed DWT-based watermarking method is more robust to TSM, MP3 compression, etc.",
keywords = "Audio watermarking, DWT, Histogram, MP3 compression, TSM",
author = "Shijun Xiang and Kim, {Hyong Joong} and Jiwu Huang",
year = "2008",
month = "10",
day = "1",
doi = "10.1016/j.sigpro.2008.03.019",
language = "English",
volume = "88",
pages = "2372--2387",
journal = "Signal Processing",
issn = "0165-1684",
publisher = "Elsevier",
number = "10",

}

TY - JOUR

T1 - Audio watermarking robust against time-scale modification and MP3 compression

AU - Xiang, Shijun

AU - Kim, Hyong Joong

AU - Huang, Jiwu

PY - 2008/10/1

Y1 - 2008/10/1

N2 - In continuation to earlier work where the problem of time-scale modification (TSM) has been studied [S. Xiang, J. Huang, R. Yang, Time-scale invariant audio watermarking based on the statistical features in time domain, in: Proceedings of the 8th Information Hiding Workshop (IH 2006), Lecture Notes in Computer Science, vol. 4437, Springer, Berlin, pp. 93-108] by modifying the shape of histogram extracted from the time domain, here we consider the additional ingredient of resisting common signal processing operations, such as MP3 compression. In other words, we study the problem of the watermark against both TSM and lossy compression. To this end, in this paper we transfer the shape of audio histogram in the time domain to the low-frequency subband by: (i) segmenting an audio signal into portions in reference to the bin width of the time-domain histogram, (ii) concatenating the portions in each bin, and (iii) DWT filtering the concatenation of the portions in each bin. The watermark is inserted by shaping the histogram after the DWT by reassigning population in each group of three consecutive bins. Extensive testing shows that in comparison with the time-domain scheme [S. Xiang, J. Huang, R. Yang, Time-scale invariant audio watermarking based on the statistical features in time domain, in: Proceedings of the 8th Information Hiding Workshop (IH 2006), Lecture Notes in Computer Science, vol. 4437, Springer, Berlin, pp. 93-108], the proposed DWT-based watermarking method is more robust to TSM, MP3 compression, etc.

AB - In continuation to earlier work where the problem of time-scale modification (TSM) has been studied [S. Xiang, J. Huang, R. Yang, Time-scale invariant audio watermarking based on the statistical features in time domain, in: Proceedings of the 8th Information Hiding Workshop (IH 2006), Lecture Notes in Computer Science, vol. 4437, Springer, Berlin, pp. 93-108] by modifying the shape of histogram extracted from the time domain, here we consider the additional ingredient of resisting common signal processing operations, such as MP3 compression. In other words, we study the problem of the watermark against both TSM and lossy compression. To this end, in this paper we transfer the shape of audio histogram in the time domain to the low-frequency subband by: (i) segmenting an audio signal into portions in reference to the bin width of the time-domain histogram, (ii) concatenating the portions in each bin, and (iii) DWT filtering the concatenation of the portions in each bin. The watermark is inserted by shaping the histogram after the DWT by reassigning population in each group of three consecutive bins. Extensive testing shows that in comparison with the time-domain scheme [S. Xiang, J. Huang, R. Yang, Time-scale invariant audio watermarking based on the statistical features in time domain, in: Proceedings of the 8th Information Hiding Workshop (IH 2006), Lecture Notes in Computer Science, vol. 4437, Springer, Berlin, pp. 93-108], the proposed DWT-based watermarking method is more robust to TSM, MP3 compression, etc.

KW - Audio watermarking

KW - DWT

KW - Histogram

KW - MP3 compression

KW - TSM

UR - http://www.scopus.com/inward/record.url?scp=54949154894&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=54949154894&partnerID=8YFLogxK

U2 - 10.1016/j.sigpro.2008.03.019

DO - 10.1016/j.sigpro.2008.03.019

M3 - Article

VL - 88

SP - 2372

EP - 2387

JO - Signal Processing

JF - Signal Processing

SN - 0165-1684

IS - 10

ER -