Recovery of Watermarks from Distorted Images
IH '99 Proceedings of the Third International Workshop on Information Hiding
Robust watermarking of facial images based on salient geometricpattern matching
IEEE Transactions on Multimedia
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Robust template matching for affine resistant image watermarks
IEEE Transactions on Image Processing
Improved wavelet-based watermarking through pixel-wise masking
IEEE Transactions on Image Processing
Robust image watermarking against local geometric attacks using multiscale block matching method
Journal of Visual Communication and Image Representation
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Digital watermarking techniques have been proposed to protect the copyright of multimedia data. Robustness against geometric distortion is one of the most important issues to be solved to increase the robustness of digital image watermarking systems. Such attacks are very simple to implement, so they can defeat most existing watermarking algorithms without causing serious perceptual distortion. In this paper, a method for the recovery of watermarks based on differential affine motion estimation is presented. This method models the geometric distortion between images as locally affine but globally smooth. This approach is built upon a differential multiscale framework, allowing us to capture both large-scale and small-scale transformations. Experimental results show that the described method can estimate the distortions quite accurately and allow correct watermark detection.