A Stochastic Approach to Content Adaptive Digital Image Watermarking
IH '99 Proceedings of the Third International Workshop on Information Hiding
Template Based Recovery of Fourier-Based Watermarks Using Log-polar and Log-log Maps
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
Image normalization using invariant centroid for RST invariant digital image watermarking
IWDW'02 Proceedings of the 1st international conference on Digital watermarking
A feature-based robust digital image watermarking scheme
IEEE Transactions on Signal Processing
Multiresolution feature detection using a family of isotropicbandpass filters
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Robust template matching for affine resistant image watermarks
IEEE Transactions on Image Processing
Circularly symmetric watermark embedding in 2-D DFT domain
IEEE Transactions on Image Processing
RST-invariant digital image watermarking based on log-polar mapping and phase correlation
IEEE Transactions on Circuits and Systems for Video Technology
Digital watermarking of bitmap images
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
Feature Based Affine Invariant Watermarking Robust to Geometric Distortions
Fundamenta Informaticae
Semantic object watermark re-synchronization based on skeleton vertex corresponds
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
Feature Based Affine Invariant Watermarking Robust to Geometric Distortions
Fundamenta Informaticae
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This paper presents a robust digital image watermarking scheme using feature point detection and watermark template match. A scale interactive model based filter is used to extract the feature points of original image, based on which a watermark template is constructed and embedded adaptively into the local region of these points. Watermark decision is made by computing the statistical correlation between the watermark and the embedded region. Because the proposed feature detection is robust against JPEG compression, filtering, noise addition and geometric distortions, the proposed watermarking scheme can achieve good performance against these attacks, and experimental results also demonstrate the superiority.