Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICME.2010.5582957
Title: Emd and psychoacoustic model based watermarking for audio
Authors: Wang, L.
Emmanuel, S.
Kankanhalli, M.S. 
Keywords: Analysis filterbank decomposition
Blind audio watermarking
Empirical mode decomposition (EMD)
Psychoacoustic model
Issue Date: 2010
Source: Wang, L., Emmanuel, S., Kankanhalli, M.S. (2010). Emd and psychoacoustic model based watermarking for audio. 2010 IEEE International Conference on Multimedia and Expo, ICME 2010 : 1427-1432. ScholarBank@NUS Repository. https://doi.org/10.1109/ICME.2010.5582957
Abstract: The audio watermarking method proposed in this paper offers the copyright protection to an audio without the use of the original signal for watermark detection. The analysis filterbank decomposition, the psychoacoustic model and the empirical mode decomposition (EMD) are the three key techniques used in the novel audio watermarking method. Unlike the traditional audio watermarking algorithms where the watermark bits are embedded directly in the signal either by time domain or transform domain processing, the novel blind audio watermarking algorithm proposed in this paper embeds the watermark bits in the final residue of the subbands in the transform domain. Four watermark messages are embedded into the proposed audio watermarking system. The inaudibility, capacity and robustness ofthe audio watermarking system are evaluated, in order to optimize the system performance. The experimental results show that the proposed blind watermarking scheme is robust against MP3 compression and adding Gaussian noise attacks. © 2010 IEEE.
Source Title: 2010 IEEE International Conference on Multimedia and Expo, ICME 2010
URI: http://scholarbank.nus.edu.sg/handle/10635/40170
ISBN: 9781424474912
DOI: 10.1109/ICME.2010.5582957
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

12
checked on Dec 14, 2017

WEB OF SCIENCETM
Citations

6
checked on Nov 20, 2017

Page view(s)

75
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


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