Efficient Graph-Based Image Segmentation
International Journal of Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Circularly orthogonal moments for geometrically robust image watermarking
Pattern Recognition
A feature-based robust digital image watermarking against geometric attacks
Image and Vision Computing
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
A local Tchebichef moments-based robust image watermarking
Signal Processing
IEEE Transactions on Image Processing
Rotation invariant watermark embedding based on scale-adapted characteristic regions
Information Sciences: an International Journal
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
Content-adaptive reliable robust lossless data embedding
Neurocomputing
Location Discriminative Vocabulary Coding for Mobile Landmark Search
International Journal of Computer Vision
A feature-based robust digital image watermarking scheme
IEEE Transactions on Signal Processing
A New Digital Image Watermarking Algorithm Resilient to Desynchronization Attacks
IEEE Transactions on Information Forensics and Security
Robust template matching for affine resistant image watermarks
IEEE Transactions on Image Processing
Robust image watermarking based on generalized Radon transformations
IEEE Transactions on Circuits and Systems for Video Technology
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For the existing feature-based image watermarking schemes, it is still a challenge to resist against desynchronization attacks. In this paper, we propose a new feature-based image watermarking scheme for improving the robustness against desynchronization attacks. First, multi-scale Gaussian filtering model is used to extract feature points in original image. The stable and non-overlapped local circular regions centered at feature points are thereafter selected by combining image segmentation and feature points refinement. Finally the watermark is embedded in the Zernike moments of the normalized circular regions. In watermark detection, a suspected image is restored with the geometrical transform matrix which is calculated by feature points matching and RANSAC iteration algorithm. The watermark detection is then conducted in the normalized circular regions after the same feature selection procedure as the embedding one. Preliminary experiments show that the proposed image watermarking can be robust against various attacks including common image processing attacks and desynchronization attacks, even complicated attacks.