Institutional Repository
Institutional Repository Institutional Repository Login  Institutional Repository  
  • UOC Library |
  •  |
  •  |

Home >
Research >
Techonology and Communication >
Computer Science, Technology and Multimedia >
Articles >

Please use this identifier to cite or link to this item:
Title: Efficient self-synchronised blind audio watermarking system based on time domain and FFT amplitude modification
Authors: Megías Jiménez, David
Serra Ruiz, Jordi
Fallahpour, Mehdi
Keywords: Audio watermarking
Blind detection
Issue Date: Dec-2010
Publisher: Elsevier
Type: Article
Series/Report no.: Megías, David; Serra-Ruiz, Jordi; Fallahpour, Mehdi (2010). "Efficient self-synchronised blind audio watermarking system based on time domain and FFT amplitude modification", Signal Processing:90(12), pp. 3078-3092, ISSN: 0165-1684, DOI: 10.1016/j.sigpro.2010.05.012
Abstract: Many audio watermarking schemes divide the audio signal into several blocks such that part of the watermark is embedded into each of them. One of the key issues in these block-oriented watermarking schemes is to preserve the synchronisation, i.e. to recover the exact position of each block in the mark recovery process. In this paper, a novel time domain synchronisation technique is presented together with a new blind watermarking scheme which works in the Discrete Fourier Transform (DFT or FFT) domain. The combined scheme provides excellent imperceptibility results whilst achieving robustness against typical attacks. Furthermore, the execution of the scheme is fast enough to be used in real-time applications. The excellent transparency of the embedding algorithm makes it particularly useful for professional applications, such as the embedding of monitoring information in broadcast signals. The scheme is also compared with some recent results of the literature.
Language: eng
Appears in Collections:Articles

Add This:


  0 (0 valuations)

Files in This Item:

File Description SizeFormat
preprint-SP-2010.pdf337.36 kBAdobe PDFPreview  Download

Author names in Twitter

Author names in FriendFeed

Recommend this item

SFX Query

Items in Repository e are protected by copyright, with all rights reserved, unless otherwise indicated.


The library replies
A product of the Universitat Oberta de Catalunya Virtual Library
Legal notice | Cookie policy