Robust watermarking based on DWT and nonnegative matrix factorization
Computers and Electrical Engineering
Complex Zernike moments features for shape-based image retrieval
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference
Fast and accurate method for radial moment's computation
Pattern Recognition Letters
Geometric distortion insensitive image watermarking in affine covariant regions
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Local histogram based geometric invariant image watermarking
Signal Processing
A robust watermarking technique for copyright protection using discrete wavelet transform
WSEAS Transactions on Computers
A feature-based robust digital image watermarking scheme
IEEE Transactions on Signal Processing
Geometrically invariant image watermarking using Polar Harmonic Transforms
Information Sciences: an International Journal
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Rotation, scale, and translation resilient watermarking for images
IEEE Transactions on Image Processing
Geometric Invariance in image watermarking
IEEE Transactions on Image Processing
Digital watermarking robust to geometric distortions
IEEE Transactions on Image Processing
Invariant image watermark using Zernike moments
IEEE Transactions on Circuits and Systems for Video Technology
Invariant Image Watermarking Based on Statistical Features in the Low-Frequency Domain
IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents a new image watermarking scheme which is blind and robust against geometric attacks. The proposed algorithm is based on the features of radial moments. In this algorithm the radial moments were first computed and then the watermark was embedded into the differential phase of various blocks of the original image using a special type of PSK modulation called interval phase modulation (IPM). In order to embed the watermark into the phase of moments, a particular method, namely the partial calculation of moments was utilized for computation. The implementation results show the improvement in the robustness and quality of the watermarked images in comparison with other methods.