DocumentCode
3389878
Title
Notice of Retraction
Fragile audio watermarking algorithm based on SVD and DWT
Author
Jiang Wei-zhen
Author_Institution
Sch. of Inf. Sci. & Technol., Jinan Univ., Guangzhou, China
fYear
2010
fDate
22-24 Oct. 2010
Firstpage
83
Lastpage
86
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Both singular value decomposition (SVD) and discrete wavelet transform (DWT) are unitary transform, energy keep conservation after being transformed. Looking upon singular value as carry, to embed watermarking in it, signal´s energy will charge when audio is attacked such as signal process or the others, so, watermarking will not be extracted exactly, the algorithm adapt to integrity detection of signal and it reality blind detection of watermarking, to extract watermarking needn´t the original or watermarking. Experimental results demonstrate the algorithm is fragile and inaudibility.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Both singular value decomposition (SVD) and discrete wavelet transform (DWT) are unitary transform, energy keep conservation after being transformed. Looking upon singular value as carry, to embed watermarking in it, signal´s energy will charge when audio is attacked such as signal process or the others, so, watermarking will not be extracted exactly, the algorithm adapt to integrity detection of signal and it reality blind detection of watermarking, to extract watermarking needn´t the original or watermarking. Experimental results demonstrate the algorithm is fragile and inaudibility.
Keywords
audio coding; discrete wavelet transforms; singular value decomposition; watermarking; DWT; SVD; blind detection; discrete wavelet transform; fragile audio watermarking algorithm; integrity detection; singular value decomposition; unitary transform; Watermarking; Chaos; Discrete Wavelet Transform; Fragile Audio Watermarking; Singular Value Decomposition;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
Conference_Location
Guilin
Print_ISBN
978-1-4244-6834-8
Type
conf
DOI
10.1109/ICISS.2010.5655023
Filename
5655023
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