Generalized Affine Invariant Image Normalization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Realistic ray tracing
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Recovery of watermark using differential affine motion estimation
ACSW Frontiers '05 Proceedings of the 2005 Australasian workshop on Grid computing and e-research - Volume 44
A novel image watermarking scheme based on support vector regression
Journal of Systems and Software
Multiscaled Texture Synthesis Using Multisized Pixel Neighborhoods
IEEE Computer Graphics and Applications
Enhanced images watermarking based on amplitude modulation
Image and Vision Computing
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Rotation, scale, and translation resilient watermarking for images
IEEE Transactions on Image Processing
A wavelet-based watermarking algorithm for ownership verification of digital images
IEEE Transactions on Image Processing
Digital watermarking robust to geometric distortions
IEEE Transactions on Image Processing
Still-image watermarking robust to local geometric distortions
IEEE Transactions on Image Processing
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 an image registration algorithm against the local geometric attack which is recently considered as the public enemy of most watermarking schemes. The watermark is embedded and retrieved using an amplitude modulation watermarking scheme. This work gives consideration to all the fidelity, robustness, and capacity. Moreover, the watermark bits act as implicit anchors to help correct local geometric distortions. In the proposed registration algorithm, an automatically multi-scaled neighborhood-matching approach is used to quickly and efficiently estimate local displacement, and a multi-resolution framework is superimposed to estimate both small and large local geometric distortions. Experimental results demonstrate the robustness and efficiency of the proposed algorithm.