Digital watermarking in the fractional Fourier transformation domain
Journal of Network and Computer Applications
Digital watermarking
A High-Capacity Block Based Video Watermark
EUROMICRO '04 Proceedings of the 30th EUROMICRO Conference
Watermarking Systems Engineering (Signal Processing and Communications, 21)
Watermarking Systems Engineering (Signal Processing and Communications, 21)
Space/spatial-frequency analysis based filtering
IEEE Transactions on Signal Processing
An additive approach to transform-domain information hiding andoptimum detection structure
IEEE Transactions on Multimedia
IEEE Transactions on Image Processing
Watermarking in the space/spatial-frequency domain using two-dimensional Radon-Wigner distribution
IEEE Transactions on Image Processing
Asymptotically optimal detection for additive watermarking in the DCT and DWT domains
IEEE Transactions on Image Processing
Locally optimum nonlinearities for DCT watermark detection
IEEE Transactions on Image Processing
Two dimensional time-frequency analysis based eigenvalue decomposition applied to image watermarking
Multimedia Tools and Applications
EURASIP Journal on Advances in Signal Processing - Special issue on time-frequency analysis and its applications to multimedia signals
Time-frequency analysis and its application in digital watermarking
EURASIP Journal on Advances in Signal Processing - Special issue on time-frequency analysis and its applications to multimedia signals
Video frames reconstruction based on time-frequency analysis and Hermite projection method
EURASIP Journal on Advances in Signal Processing - Special issue on time-frequency analysis and its applications to multimedia signals
Time-frequency and time-scale-based fragile watermarking methods for image authentication
EURASIP Journal on Advances in Signal Processing - Special issue on time-frequency analysis and its applications to multimedia signals
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A watermarking approach based on multidimensional time-frequency analysis is proposed. It represents a unified concept that can be used for different types of data such as audio, speech signals, images or video. Time-frequency analysis is employed for speech signals, while space/spatial-frequency analysis is used for images. Their combination is applied for video signals. Particularly, we focus on the 2-D case: space/spatial-frequency based image watermarking procedure that will be subsequently extended to video signal. A method that selects coefficients for watermarking by estimating the local frequency content is proposed. In order to provide watermark imperceptibility, the nonstationary filtering is used to model the watermark which corresponds to the host signal components. Furthermore, the watermark detection within the multidimensional time-frequency domain is proposed. The efficiency and robustness of the procedure in the presence of various attacks is proven experimentally.