Time-frequency analysis: theory and applications
Time-frequency analysis: theory and applications
A DCT-domain system for robust image watermarking
Signal Processing
Robust image watermarking in the spatial domain
Signal Processing
Multi-window Gabor expansion for evolutionary spectral analysis
Signal Processing - Special issue on acoustic echo and noise control
Optimal transform domain watermark embedding via linear programming
Signal Processing - Special section on information theoretic aspects of digital watermarking
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Watermarking in the space/spatial-frequency domain using two-dimensional Radon-Wigner distribution
IEEE Transactions on Image Processing
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With the rapid development of computers and internet applications, copyright protection of multimedia data has become an important problem. Watermarking techniques are proposed as a solution to copyright protection of digital media files. In this paper, a new, robust, and high-capacity watermarking method that is based on spatiofrequency (SF) representation is presented. We use the discrete evolutionary transform (DET) calculated by the Gabor expansion to represent an image in the joint SF domain. The watermark is embedded onto selected coefficients in the joint SF domain. Hence, by combining the advantages of spatial and spectral domain watermarking methods, a robust, invisible, secure, and high-capacity watermarking method is presented. A correlation-based detector is also proposed to detect and extract any possible watermarks on an image. The proposed watermarking method was tested on some commonly used test images under different signal processing attacks like additive noise, Wiener and Median filtering, JPEG compression, rotation, and cropping. Simulation results show that our method is robust against all of the attacks.