An image watermarking technique using pyramid transform
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Robust watermarking of cartographic images
EURASIP Journal on Applied Signal Processing - Emerging applications of multimedia data hiding
Second Generation Benchmarking and Application Oriented Evaluation
IHW '01 Proceedings of the 4th International Workshop on Information Hiding
A Maximum a Posteriori Identification Criterion for Wavelet Domain Watermarking
ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
Robust watermarking of cartographic images
EURASIP Journal on Applied Signal Processing
Expanding the class of watermark de-synchronization attacks
Proceedings of the 9th workshop on Multimedia & security
EURASIP Journal on Applied Signal Processing
A secure and robust object-based video authentication system
EURASIP Journal on Applied Signal Processing
Optimal detector for multiplicative watermarks embedded in the DFT domain of non-white signals
EURASIP Journal on Applied Signal Processing
Machine learning based adaptive watermark decoding in view of anticipated attack
Pattern Recognition
Generalized embedding of multiplicative watermarks
IEEE Transactions on Circuits and Systems for Video Technology
An efficient watermarking technique for the protection of fingerprint images
EURASIP Journal on Information Security
Robust multiplicative patchwork method for audio watermarking
IEEE Transactions on Audio, Speech, and Language Processing
IEEE Transactions on Multimedia
IEEE Transactions on Image Processing
A maximum a-posteriori identification criterion for wavelet domain watermarking
International Journal of Wireless and Mobile Computing
Enhanced watermarking scheme based on removal of local means
IWDW'02 Proceedings of the 1st international conference on Digital watermarking
Implications for image watermarking of recent work in image analysis and representation
IWDW'02 Proceedings of the 1st international conference on Digital watermarking
Robust multiplicative audio and speech watermarking using statistical modeling
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Contourlet-based image watermarking using optimum detector in a noisy environment
IEEE Transactions on Image Processing
Perceptual image hashing based on virtual watermark detection
IEEE Transactions on Image Processing
Asymptotically optimum universal watermark embedding and detection in the high-SNR regime
IEEE Transactions on Information Theory
A logarithmic quantization index modulation for perceptually better data hiding
IEEE Transactions on Image Processing
Robust detection of transform domain additive watermarks
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
Countermeasures for collusion attacks exploiting host signal redundancy
IWDW'05 Proceedings of the 4th international conference on Digital Watermarking
On the hybrid multi-watermarking
Signal Processing
Statistical robustness in multiplicative watermark detection
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
How to combat block replacement attacks?
IH'05 Proceedings of the 7th international conference on Information Hiding
Optimum detection of multiplicative watermarks for digital images in the DWT domain
EGMM'04 Proceedings of the Seventh Eurographics conference on Multimedia
Optimum detection of multiplicative-multibit watermarking for fingerprint images
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Digital Signal Processing
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Watermark detection, i.e., the detection of an invisible signal hidden within an image for copyright protection or data authentication, has classically been tackled by means of correlation-based techniques. Nevertheless, when watermark embedding does not obey an additive rule, or when the features the watermark is superimposed on do not follow a Gaussian pdf, correlation-based decoding is not the optimum choice. A new decoding algorithm is presented here which is optimum for nonadditive watermarks embedded in the magnitude of a set of full-frame DFT coefficients of the host image. By relying on statistical decision theory, the structure of the optimum is derived according to the Neyman-Pearson criterion, thus permitting to minimize the missed detection probability subject to a given false detection rate. The validity of the optimum decoder has been tested thoroughly to assess the improvement it permits to achieve from a robustness perspective. The results we obtained confirm the superiority of the novel algorithm with respect to classical correlation-based decoding