Modern Digital and Analog Communication Systems 3e Osece
Modern Digital and Analog Communication Systems 3e Osece
Improved spread spectrum: a new modulation technique for robust watermarking
IEEE Transactions on Signal Processing
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Dual purpose FWT domain spread spectrum image watermarking in real time
Computers and Electrical Engineering
3D facial visualization through adaptive spread spectrum synchronous scalable (A4S) data hiding
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Diversity assisted GCIC for spread spectrum watermark detection using genetic algorithms
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Reversible data hiding algorithm based on prediction error
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 3
Perceptually adaptive spread transform image watermarking scheme using Hadamard transform
Information Sciences: an International Journal
On protection of compressed image in fading channel using data hiding
Computers and Electrical Engineering
Collusion resilient spread spectrum watermarking in M-band wavelets using GA-fuzzy hybridization
Journal of Systems and Software
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Robustness is a key attribute of spread spectrum (SS) watermarking scheme. It is significantly deteriorated if one tries to achieve high embedding rate keeping other parameters unaltered. In literatures, typically various transformations like DFT, DCT, Fourier-Mellin and wavelet are used for SS multimedia watermarking but little studies have been attempted so far to see what are the possible factors which can improve robustness. The current paper has critically analyzed few such factors namely design of code pattern, proper signal decomposition suitable for data embedding, direction of decomposition, selection of regions for data embedding, signaling scheme, choice of modulation functions and embedding strength. Based on the observation, wavelet based SS watermarking scheme is proposed and improvement in robustness performance is verified through experimental results as well by mathematical analysis.