The JPEG still picture compression standard
Communications of the ACM - Special issue on digital multimedia systems
Fuzzy systems theory and its applications
Fuzzy systems theory and its applications
Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
IBM Systems Journal
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
A DCT-domain system for robust image watermarking
Signal Processing
Perceptually tuned robust watermarking scheme for digital images
Pattern Recognition Letters
Digital watermarking
Optimum Decoding of Non-additive Full Frame DFT Watermarks
IH '99 Proceedings of the Third International Workshop on Information Hiding
An Entropy Masking Model for Multimedia Content Watermarking
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 7 - Volume 7
Learning fuzzy inference systems using an adaptive membership function scheme
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Image-adaptive watermarking using visual models
IEEE Journal on Selected Areas in Communications
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Improved wavelet-based watermarking through pixel-wise masking
IEEE Transactions on Image Processing
A new robust watermarking scheme to increase image security
EURASIP Journal on Advances in Signal Processing
A robust biometric dual watermarking technique with hand vein patterns for digital images
International Journal of Biometrics
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This paper presents a novel robust watermarking technique intended for the application of copyright protection. A dynamic fuzzy inference system is modelled and used in conjunction with a model of the Human Visual System (HVS) to compute the adaptive strength and length of the watermark. The proposed fuzzy logic technique relies on the statistical distributions of the HVS-generated data to accurately approximate the relationship found between all properties of the visual model. In addition, we introduce a predictive watermark embedding algorithm that exploits the average power of the frequency-domain image coefficients to optimise the watermarking process.