Robust Image Corner Detection Through Curvature Scale Space
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital watermarking
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Rotation, scale, and translation resilient watermarking for images
IEEE Transactions on Image Processing
Circularly symmetric watermark embedding in 2-D DFT domain
IEEE Transactions on Image Processing
Feature based watermarking using watermark template match
Applied Mathematics and Computation
Robust image watermarking using local Zernike moments
Journal of Visual Communication and Image Representation
Feature based robust watermarking using image normalization
Computers and Electrical Engineering
Circular spatial improved watermark embedding using a new global sift synchronization scheme
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Image watermarking with feature point based synchronization robust to print-scan attack
Journal of Visual Communication and Image Representation
Performance evaluation of moment-based watermarking methods: A review
Journal of Systems and Software
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Digital content services and tools have spread all over the world creating an acute need for robust copyright protection and ownership management systems. Robust watermarking technology is playing a crucial roll in these systems developments. This paper reports a robust technique for digital image watermarking. Salient image areas extracted from the pixel domain are used to embed local watermarks in the frequency domain. Relevant image corners are first extracted using well- established scale-space theories for edge and corner detection. Fairly small areas around each corner are used to insert the watermark. The objective is to achieve robustness against local and global geometric transformations as well as conventional image processing attacks while keeping the computational cost low. The DFT is applied on the discrete polar coordinates over asymmetric grids defined on uniform angles and non-uniform radii. The objective is to keep the rotation invariance property of the DFT magnitude while avoiding numerical and interpolation errors on the radii axis. A blind watermark detection process based on statistical correlation is used. Several experiments to validate the robustness of the proposed approach were conducted and are reported in the paper.