Hybrid SVD-based audio watermarking scheme

B. Y. Lei, Kwok Tung Lo, Haijun Lei

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


In this paper, a new blind Singular Value Decomposition (SVD) and quantization based audio watermarking scheme is proposed. The watermark information is meaningful binary image permuted by the Piecewise Affine Markov Map (PWAM) before inserted into the host audio signal. The block-based method is applied by the modification of the largest singular values after the SVD transform. The watermark can be extracted without the original signal. Besides, the audio watermarking scheme is adaptive as the quantization step and block length can be changed adaptively without downgrading the signal. The experimental results demonstrate that the proposed scheme is very robust to filtering, extra noise, resampling, requantization, filtering, and MP3 compression attacks.
Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings
Number of pages10
EditionPART 1
Publication statusPublished - 8 Nov 2010
Event11th Pacific Rim Conference on Multimedia, PCM 2010 - Shanghai, China
Duration: 21 Sep 201024 Sep 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6297 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference11th Pacific Rim Conference on Multimedia, PCM 2010


  • Audio watermarking
  • PWAM
  • Quantization
  • SVD

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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