A Digital Audio Watermarking Scheme Based on Independent Component Analysis and Singular Value Decomposition

2006 ◽  
Author(s):  
Xiao-hong Ma ◽  
Zhong-jie Liang ◽  
Fu-liang Yin
Keyword(s):  
Singular Value Decomposition ◽  
Independent Component Analysis ◽  
Component Analysis ◽  
Singular Value ◽  
Independent Component ◽  
Audio Watermarking ◽  
Digital Audio ◽  
Digital Audio Watermarking ◽  
Value Decomposition ◽  
Watermarking Scheme

Digital Audio Watermarking Scheme Based on Independent Component Analysis in DWT Domain

2011 ◽  
Vol 219-220 ◽  
pp. 1121-1125 ◽  
Author(s):  
Rui Chen ◽  
Yu Lin Lan ◽  
Reza Asharif Mohammad
Keyword(s):  
Independent Component Analysis ◽  
Low Frequency ◽  
Component Analysis ◽  
Extraction Process ◽  
Independent Component ◽  
Audio Watermarking ◽  
Discrete Wavelet ◽  
Digital Audio ◽  
Digital Audio Watermarking ◽  
Watermarking Scheme

This paper proposed a digital audio watermarking scheme based on independent component analysis (ICA) in DWT domain. The embedding process make full use of the multi-resolution characteristic of discrete wavelet transform (DWT), performing 3-level DWT. Selecting the low frequency coefficient appropriately as the embed location to make sure of the balance between the transparency and robustness. Then constructing the ICA model to embed the watermarking. The extraction process is similar with ICA’s goal, it’s used in extraction makes the scheme simple for implementation. The experiment results show that the proposed scheme has good robustness against common attacks, as well as transparency.

Digital Audio Watermarking Scheme Based on Independent Component Analysis in Stereo Sound

2012 ◽  
Vol 459 ◽  
pp. 469-473
Author(s):  
Rui Chen ◽  
Yu Lin Lan ◽  
Mohammad Reza Asharif
Keyword(s):  
Independent Component Analysis ◽  
Low Frequency ◽  
Component Analysis ◽  
Extraction Process ◽  
Independent Component ◽  
Audio Watermarking ◽  
Discrete Wavelet ◽  
Digital Audio ◽  
Digital Audio Watermarking ◽  
Watermarking Scheme

This paper proposed a digital audio watermarking scheme based on independent component analysis (ICA) in stereo sound. In order to make full use of the multi-channel characteristic of stereo sound, The watermarking embedded into the two channel, half respectively. Also using the multi-resolution characteristic of discrete wavelet transform, performing 3-level DWT in each channel. Selecting the low frequency coefficient appropriately as the embed location to make sure of the balance between the transparency and robustness. The extraction process is similar with ICA’ s goal, it’s used in extraction makes the scheme simple for implementation. The experiment results show that the proposed scheme has good robustness against common attacks, as well as transparency

Digital Watermarking Techniques for Images

2014 ◽  
pp. 737-746
Author(s):  
Channapragada R. S. G. Rao ◽  
Vadlamani Ravi ◽  
Munaga. V. N. K. Prasad ◽  
E. V. Gopal
Keyword(s):  
Support Vector Machines ◽  
Singular Value Decomposition ◽  
Independent Component Analysis ◽  
Component Analysis ◽  
Singular Value ◽  
Independent Component ◽  
Support Vector ◽  
Vector Machines ◽  
Value Decomposition ◽  
Cryptographic Techniques

This Chapter presents a brief review of the work done during 1990-2013, in the application of intelligent techniques and independent component analysis to digital image watermarking. The review considers only the gray-scale and color images excluding other multimedia. The intelligent techniques considered are support vector machines, singular value decomposition and cryptographic techniques. The review is structured by considering the type of technique applied to solve the problem as an important dimension. Consequently the papers are grouped into the following four families, (i) Support vector machines, (ii) Singular value decomposition and (iii) Cryptographic Techniques (iv) Independent component analysis. Comparative analysis of different techniques is also presented. Finally, the review is concluded with future directions.

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