Audio watermarking for copyright protection based on psychoacoustic model and adaptive wavelet packet decomposition

2005 ◽  
Author(s):  
Xiaomei Quan ◽  
Hongbin Zhang
Keyword(s):  
Copyright Protection ◽  
Wavelet Packet ◽  
Audio Watermarking ◽  
Wavelet Packet Decomposition ◽  
Adaptive Wavelet ◽  
Psychoacoustic Model

The Improvement of Wavelet Packet for Psychoacoustic Model

2012 ◽  
Vol 591-593 ◽  
pp. 2491-2494
Author(s):  
Jing Lei Zhou ◽  
Ying Li
Keyword(s):  
Spectrum Analysis ◽  
Wavelet Packet ◽  
Critical Band ◽  
Frequency Resolution ◽  
Wavelet Packet Decomposition ◽  
Frequency Division ◽  
Time Frequency ◽  
Psychoacoustic Model ◽  
Insufficient Time ◽  
The Way

Compared with common psychoacoustic model, this article uses wavelet packet decomposition to decompose a signal. This method improves the situation of insufficient time-frequency resolution which the uniform spectrum analysis causes. In addition, frequency division by wavelet packet decomposition is much closer to human’s critical band than the way common psychoacoustic model getting, it is more suitable to human’s hearing characteristics. So we can use wavelet packet decomposition replace FFT in MPEG, and get accurate psychoacoustic model.

scholarly journals Efficiently Synchronized Spread-Spectrum Audio Watermarking with Improved Psychoacoustic Model

2008 ◽  
Vol 2008 ◽  
pp. 1-5 ◽  
Author(s):  
Xing He ◽  
Michael S. Scordilis
Keyword(s):  
Spread Spectrum ◽  
Wavelet Packet ◽  
Audio Watermarking ◽  
Discrete Wavelet ◽  
Digital Audio ◽  
Discrete Wavelet Packet Transform ◽  
Time Frequency ◽  
Psychoacoustic Model ◽  
Temporal Masking ◽  
Watermarking Scheme

This paper presents an audio watermarking scheme which is based on an efficiently synchronized spread-spectrum technique and a new psychoacoustic model computed using the discrete wavelet packet transform. The psychoacoustic model takes advantage of the multiresolution analysis of a wavelet transform, which closely approximates the standard critical band partition. The goal of this model is to include an accurate time-frequency analysis and to calculate both the frequency and temporal masking thresholds directly in the wavelet domain. Experimental results show that this watermarking scheme can successfully embed watermarks into digital audio without introducing audible distortion. Several common watermark attacks were applied and the results indicate that the method is very robust to those attacks.

Calculation Analysis on Audio Frequency Compression Based on Wavelet Packet Decomposition

2012 ◽  
Vol 182-183 ◽  
pp. 2035-2039
Author(s):  
Kai Wen Zhang ◽  
Yan Ling Zhou ◽  
Xiang Gang Hua
Keyword(s):  
Signal To Noise Ratio ◽  
Wavelet Packet ◽  
Audio Signal ◽  
Wavelet Packet Decomposition ◽  
Audio Frequency ◽  
Simulation Test ◽  
Signal To Noise ◽  
Adaptive Wavelet ◽  
Frequency Compression ◽  
Calculation Analysis

This text have further discussed the audio frequency compression based on wavelet packet decomposition and optimize the choice of optimum wavelet packet and proposed a optimized self-adaptive wavelet packet decomposition and adopted zerotree coding based on psycho-acoustic model, which makes this system have a higher compression ratio than audio signal and can keep good real-time and objective recovery signal to noise ratio. Computer simulation test is made for the calculation proposed with Matlab,and this simulation test has proved the point that is mentioned in this text.

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