A survey of image registration techniques
ACM Computing Surveys (CSUR)
An FFT-based technique for translation, rotation, and scale-invariant image registration
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
Robust image watermarking based on generalized Radon transformations
IEEE Transactions on Circuits and Systems for Video Technology
RST-invariant digital image watermarking based on log-polar mapping and phase correlation
IEEE Transactions on Circuits and Systems for Video Technology
A new video watermarking algorithm based on 1D DFT and Radon transform
Signal Processing
Invariant image watermarking using multi-scale Harris detector and wavelet moments
Computers and Electrical Engineering
A novel color image watermarking scheme in nonsampled contourlet-domain
Expert Systems with Applications: An International Journal
A robust content based image watermarking using local invariant histogram
Multimedia Tools and Applications
Geometrically invariant image watermarking using SVR correction in NSCT domain
Computers and Electrical Engineering
A new SVM-based image watermarking using Gaussian-Hermite moments
Applied Soft Computing
Journal of Visual Communication and Image Representation
A robust blind color image watermarking in quaternion Fourier transform domain
Journal of Systems and Software
Journal of Systems and Software
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This paper presents an image rectification scheme that can be used by any image watermarking algorithm to provide robustness against rotation, scaling and translation (RST) transformations. Rotation and scaling transformations in the spatial domain result in cyclically translational shifts in the log-polar mapping (LPM) of the magnitude of the Fourier transform spectrum of an image. We cut a small block from the LPM domain as a matching template. A new filtering method is proposed to compute the cross-correlation between this template and the magnitude of the LPM of the image having undergone RST transformations to detect the rotation and scaling parameters. We employ the same strategy in the spatial domain to detect the translational parameters in the spatial domain. The scheme can also be used to detect image flipping. The cost of the templates is low and the templates can even be compressed. The detection accuracy for rotation, scaling and translation is also presented. We compare the matching results for the different filters and their performance by the three criteria: signal-to-noise ratio (SNR), peak-to-correlation energy (PCE), and Horner efficiency. We demonstrate that our phase-only filtering method is the only one that can be used in the LPM domain. We also introduce three applications for this rectification scheme and give their experimental results.