DocumentCode
468980
Title
Research on audio information hiding algorithm based on BP neural network
Author
Wang, Hong ; Sun, Qiong
Author_Institution
Wuhan Univ. of Technol., Wuhan
Volume
2
fYear
2007
fDate
2-4 Nov. 2007
Firstpage
687
Lastpage
690
Abstract
This paper proposes an audio information hiding algorithm based on BP neural network. The algorithm adopts 256 grey scales image as embedded information and audio as the carrier. Utilize learning samples to train the neural network, and then extract image information by the trained network. The advantages of this algorithm are as follows: a great deal of data can be hided, the time of extracting data is short, the anti-attack robustness is strong, etc.
Keywords
audio signal processing; backpropagation; feature extraction; learning (artificial intelligence); neural nets; BP neural network; anti-attack robustness; audio information hiding algorithm; image information extraction; trained network; Biological neural networks; Data mining; Flowcharts; Image segmentation; Merging; Neural networks; Pattern recognition; Pixel; Robustness; Watermarking; Audio information; BP Neural Network; Grey image; Information Hiding;
fLanguage
English
Publisher
ieee
Conference_Titel
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1065-1
Electronic_ISBN
978-1-4244-1066-8
Type
conf
DOI
10.1109/ICWAPR.2007.4420756
Filename
4420756
Link To Document