Audio Watermarking Algorithm Based on Wavelet Packet and Psychoacoustic Model

2005 ◽  
Author(s):  
Wang Rang-Ding ◽  
Xu Da-Wen ◽  
Li Qian
Keyword(s):  
Wavelet Packet ◽  
Audio Watermarking ◽  
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.

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.

Spread Spectrum for Digital Audio Watermarking

2008 ◽  
pp. 11-49 ◽  
Author(s):  
Xing He
Keyword(s):  
Spread Spectrum ◽  
Wavelet Packet ◽  
Audio Watermarking ◽  
Discrete Wavelet ◽  
Digital Audio ◽  
Discrete Wavelet Packet Transform ◽  
Digital Audio Watermarking ◽  
Synchronization Problem ◽  
Communications System

This chapter is a comprehensive presentation of spread spectrum-based digital audio watermarking methods. The problem is viewed as the realization of a basic communications system, where the host signal presents the available channel and the watermark presents the transmitted information that needs to survive and be recovered in conditions that include noise distortion, signal transformation, standard compression, and deliberate attacks. Basic spread spectrum theory as it relates to audio watermarking is introduced followed by state-of-the-art improvements. The important synchronization problem is analyzed in detail, existing techniques are presented and a novel, precise synchronization method is included. Finally, the role of psychoacoustics in effective watermarking is emphasized and an enhanced psychoacoustic model based on the discrete wavelet packet transform (DWPT), which ensures efficiency and transparency is included.

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