DocumentCode :
2773308
Title :
Optimal watermarking scheme for breath sound
Author :
Lei, Baiying ; Song, Insu ; Rahman, Shah Atiqur
Author_Institution :
James Cook Univ., Townsville, QLD, Australia
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
1
Lastpage :
6
Abstract :
In this paper, a new watermarking scheme for breath sound based on lifting wavelet transform (LWT), discrete cosine transform (DCT), singular value decomposition (SVD) and dither modulation (DM) quantization is proposed to embed encrypted source and identity information, and medical conditions, such as cold and flu symptoms in breath sound while preserving important biological signals for detecting breathing patterns and breathing rates. In the proposed scheme, LWT is first carried out to decompose the signal followed by applying DCT on the approximate coefficients. SVD is then performed on the LWT-DCT coefficients to get the singular values. The novelty of our proposed method includes the introduction of the particle swarm optimization (PSO) technique to optimization the quantization steps of the DM approach too. Simulation results show that our watermarking scheme achieves good robustness against common signal processing attacks and maintains the imperceptivity. The comparison results also show good performance of our scheme.
Keywords :
discrete cosine transforms; singular value decomposition; speech processing; watermarking; wavelet transforms; DCT; DM; LWT; LWT-DCT coefficients; PSO; SVD; biological signals; breath sound; breathing pattern detection; discrete cosine transform; dither modulation; identity information; lifting wavelet transform; medical conditions; optimal watermarking scheme; particle swarm optimization; singular value decomposition; source encryption; Discrete cosine transforms; Optimization; Quantization; Robustness; Signal to noise ratio; Watermarking; LWT-DCT; PSO; SVD; breath sound; digital watermarking; robust;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), The 2012 International Joint Conference on
Conference_Location :
Brisbane, QLD
ISSN :
2161-4393
Print_ISBN :
978-1-4673-1488-6
Electronic_ISBN :
2161-4393
Type :
conf
DOI :
10.1109/IJCNN.2012.6252586
Filename :
6252586
Link To Document :
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