Digital watermarking based on neural networks for color images
Signal Processing - Special section on digital signal processing for multimedia communications and services
Another Approach for Partial Parallel Interference Cancellation
Wireless Personal Communications: An International Journal
The upper and lower bounds of the information-hiding capacity of digital images
Information Sciences: an International Journal
Genetic algorithms for optimality of data hiding in digital images
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Bio-Inspired Information Hiding; Guest editors: Jeng-Shyang Pan, Ajith Abraham
Subcarrier PIC Scheme for High Capacity CI/MC-CDMA System with Variable Data Rates
MWS '09 Proceedings of the 2009 IEEE Mobile WiMAX Symposium
Robust MC-CDMA-based fingerprinting against time-varying collusion attacks
IEEE Transactions on Information Forensics and Security
Robust watermarking and compression for medical images based on genetic algorithms
Information Sciences: an International Journal
Improved spread spectrum: a new modulation technique for robust watermarking
IEEE Transactions on Signal Processing
Blind quality assessment system for multimedia communications using tracing watermarking
IEEE Transactions on Signal Processing
Anti-collusion fingerprinting for multimedia
IEEE Transactions on Signal Processing
A new approach for optimization in image watermarking by using genetic algorithms
IEEE Transactions on Signal Processing
Diversity and attack characterization for improved robustwatermarking
IEEE Transactions on Signal Processing
Joint coding and embedding techniques for MultimediaFingerprinting
IEEE Transactions on Information Forensics and Security
Collusion-secure fingerprinting for digital data
IEEE Transactions on Information Theory
IEEE Communications Magazine
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
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This paper proposes an optimized spread spectrum image watermarking scheme robust against fading-like collusion attack using genetic algorithms (GA) in multiband (M-band) wavelet decomposition. M-band decomposition of host data offers advantages in better scale-space tiling and good energy compactness. This makes watermarking robust against frequency selective fading-like attack gain. On the other hand, GA would determine a threshold value for the selection of host coefficients (process gain i.e. the length of spreading code) used in watermark casting along with the respective embedding strengths. We then consider colluder (random gain) identification as multiuser detection problem and use successive interference cancelation (SIC) to accurately detect weak (low gain) colluder and innocent users too. A weighted correlator is developed first where weight factors are calculated through training/learning using a neural network. A closed mathematical form of joint probability of error is developed with the objective of minimizing the probability of false detection i.e. a colluder is identified as an innocent user and an innocent user is identified as a colluder, for a set of colluders involved. Simulation results show the relative performance gain of the weighted correlator and SIC scheme compared to the existing works.