Fundamentals of digital image processing
Fundamentals of digital image processing
Image-Feature Based Second Generation Watermarking in Wavelet Domain
WAA '01 Proceedings of the Second International Conference on Wavelet Analysis and Its Applications
Attacks on Copyright Marking Systems
Proceedings of the Second International Workshop on Information Hiding
A Bayesian Approach to Affine Transformation Resistant Image and Video Watermarking
IH '99 Proceedings of the Third International Workshop on Information Hiding
Pattern recognition using invariants defined from higher order spectra: 2-D image inputs
IEEE Transactions on Image Processing
Robust template matching for affine resistant image watermarks
IEEE Transactions on Image Processing
Rotation, scale, and translation resilient watermarking for images
IEEE Transactions on Image Processing
Rotation, Scaling, Translation Invariant Image Watermarking Based on Radon Transform
CRV '04 Proceedings of the 1st Canadian Conference on Computer and Robot Vision
A survey of RST invariant image watermarking algorithms
ACM Computing Surveys (CSUR)
A new video watermarking algorithm based on 1D DFT and Radon transform
Signal Processing
Robust undetectable interference watermarks
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
Dual-purpose semi-fragile watermark: Authentication and recovery of digital images
Computers and Electrical Engineering
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Image watermark that is resistant to geometric distortion is remained to be an unsolved problem. Difficulty of the probelm comes from the situation that the watermark should be extracted without any information of the original image. In this paper, we review this problem and propose a new watermarking scheme based on invariant pattern recognition theory. We propose an invariant watermark using the Radon transform and higher order spectra. A bispectrum feature vector of the image is used as the watermark. Our approach differs from the previous methods in that we embed watermark into the phase of the higher order spectra. Also, our Radon embedding grid outperforms the Fourier-Mellin based methods. We devised a new embedding method which allows detection of the watermark when there is no exact inverse function during embedding. As we use the Radon transform, our method can be used for medical images. We show the invariance of the designed watermark with mathematical proofs. Experimental results confirm that this scheme is resistant to geometric distortions.