Research for adaptive audio information hiding approach based on DWT

2008 ◽  
Author(s):  
Xuesong Chen ◽  
Xuan Zhang ◽  
Yongtian Yang ◽  
Ping Sun
Keyword(s):  
Information Hiding ◽  
Audio Information

Information Hiding Using Interpolation for Audio and Speech Signals

2013 ◽  
pp. 71-89
Author(s):  
Mamoru Iwaki
Keyword(s):  
Fourier Series ◽  
Information Hiding ◽  
Linear Prediction ◽  
Spline Interpolation ◽  
Sound Quality ◽  
Bit Rate ◽  
Audio Signals ◽  
Interpolation Techniques ◽  
Music Signals ◽  
Audio Information

In this chapter, a time-domain high-bit-rate information hiding method using interpolation techniques, which can extract embedded data in both informed (non-blind) and non-informed (blind) ways, is proposed. Three interpolation techniques are introduced for the information hiding method, i.e., spline interpolation, Fourier-series interpolation, and linear-prediction interpolation. In performance evaluation, spline interpolation was mainly examined as an example implementation. According to the simulation of information hiding in music signals, the spline interpolation-based method achieved audio-information hiding for CD-audio signals at bit rate of about 2.9 kbps, and about 1.1 kbps under MP3 compression (160 kbps). The objective sound quality measured by the Perceptual Evaluation of Audio Quality (PEAQ) was maintained if the length of interpolation data increased. The objective sound quality was also evaluated for the Fourier series-based implementation and the linear prediction-based one. Fourier series interpolation achieved the same sound quality as spline interpolation did. Linear prediction interpolation required longer interpolation signals to get good sound quality.

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