Digital image watermarking phd thesis

Digital image watermarking phd thesis

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Digital image watermarking methods for copyright protection and authentication | QUT ePrints

Amini, Marzieh Wavelet Domain Watermark Detection and Extraction using the Vector-based Hidden Markov Model. PhD thesis, Concordia University. Multimedia data piracy is a growing problem in view of the ease and simplicity provided by the internet in transmitting and receiving such data.

A possible solution to preclude unauthorized duplication or distribution of digital data is watermarking. Watermarking is an identifiable piece digital image watermarking phd thesis information that provides security against multimedia piracy.

This thesis is concerned with the investigation of various image watermarking schemes in the wavelet domain using the statistical properties of the wavelet coefficients, digital image watermarking phd thesis. The wavelet subband coefficients of natural images have significantly non-Gaussian and heavy-tailed features that are best described by heavy-tailed distributions.

Moreover the wavelet coefficients of images have strong digital image watermarking phd thesis and inter-orientation dependencies. In view of this, the vector-based hidden Markov model is found to be best suited to characterize the wavelet coefficients. In this thesis, this model is used to develop new digital image watermarking schemes.

Additive and multiplicative watermarking schemes in the wavelet domain are developed in order to provide improved detection and extraction of the watermark. Blind watermark detectors using log-likelihood ratio test, and watermark decoders using the maximum likelihood criterion to blindly extract the embedded watermark bits from the observation data are designed.

Extensive experiments are conducted throughout this thesis using a number of databases selected from a wide variety of natural images. Simulation results are presented to demonstrate the effectiveness of the proposed image watermarking scheme and their superiority over some of the state-of-the-art techniques.

It is shown that in view of the use of the hidden Markov model characterize the distributions of the wavelet coefficients of images, the proposed watermarking algorithms result in higher detection and digital image watermarking phd thesis rates both before and after subjecting the watermarked image to various kinds of digital image watermarking phd thesis. Repository Staff Only: item control page.

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by Year by Department by Author by Document Type. Guidelines FAQ Statistics. pdf - Accepted Version Available under License Spectrum Terms of Access. Abstract Multimedia data piracy is a growing problem in view of the ease and simplicity provided by the internet in transmitting and receiving such data.

References: [1] Z. Azimifar, P. Fieguth, and E. Chandramouli and N. Mihcak, I. Kozintsev, and K. IEEE International Conference on Acoustics, Speech, digital image watermarking phd thesis, and Signal Processing, ICASSPpp. Ho and W. Amini, M. Ahmad, and M. IEEE International Symposium on Circuits and Systems ISCASpp. Ahmad and M. IEEE International conference on New Circuits and Systems NEWCASpp.

IEEE Canadian Conference on Electrical and Computer Engineering CCECEpp. Antonini, M. Barlaud, P. Mathieu, and I. Lo-Presto, K. Ramchandran, and T. Data Compression Conference DCCpp. Buccigrossi and E. Choi and R. Asilomar Conference on Signals, Systems, and Computers, pp. Li, R.

Gray, and R. Do and M. Barni, F. Bartolini, and A. Rahman, M. and H. Huang and B. Bian and S. Huang, B. Cheng and T. IEEE International Conference on Multimedia Expo, pp. Mairgiotis, P. Nikolas and Y. Zeng and B. Cox, J. Kilian, F. Leighton and T. Kwitt, digital image watermarking phd thesis, P. Meerwald and A. Zhang, Z. Wang and X. Kim, D.

Choi, H. Choi and T. Wang, J. Doherty, and R. Wang and Y. Nezhadarya, Z. Wang, and R. Kalantari and S. Akhaee, S. Sahraeian, B. Sankur, and F. Zebbiche and F. Hernandez, M. Amado and F. Briassouli and M. Briassouli, P. Tsakalides and A. Fadili and L. Crouse, R. Nowak and R. Romberg, digital image watermarking phd thesis, C. Hyeokho and R. Fan and X. Sun, D. Gu, Y. Chen, and S. Luettgen, W. Karl, A. Willsky and R.

Digital Image Watermarking Using MATLAB- IEEE Paper Explanation - Basics of Digital Watermarking

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