A Stochastic Approach to Content Adaptive Digital Image Watermarking
IH '99 Proceedings of the Third International Workshop on Information Hiding
Rotation, Translation and Scale Invariant Digital Image Watermarking
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Multimedia Security Technologies for Digital Rights Management
Multimedia Security Technologies for Digital Rights Management
Methods of synchronizing digital watermarks
Cybernetics and Systems Analysis
Image normalization using invariant centroid for RST invariant digital image watermarking
IWDW'02 Proceedings of the 1st international conference on Digital watermarking
Proceedings of the Third international conference on Digital Watermarking
IWDW'04 Proceedings of the Third international conference on Digital Watermarking
Robust template matching for affine resistant image watermarks
IEEE Transactions on Image Processing
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In image watermarking, many attacks will result in a synchronization problem between embedder and detector. A novel way to partly, overcome this problem is embedding with feature points. In this paper we describe a synchronization system based on SIFT feature points. These points are characterized as being a localized feature containing semantic information of the image and can usually be retrieved after the image is attacked. We present an improvement on the work of Lee et al. [1], by using a more robust SIFT algorithm for feature point detection which we called Global SIFT (GLOS) and an adaptation of the Circular Spatial watermarking algorithm using so called mean QIM (CSI). We experimentally show an increase in detection rate and robustness of the watermarks after geometric attacks.