Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Robust template matching for affine resistant image watermarks
IEEE Transactions on Image Processing
Rotation, scale, and translation resilient watermarking for images
IEEE Transactions on Image Processing
Geometrically invariant watermarking using feature points
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
RST-invariant digital image watermarking based on log-polar mapping and phase correlation
IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents a novel zero-watermarking scheme, which is robust to geometric distortions and common signal processes. Zero-watemarking technique is different from traditional digital image watermarking, which constructs watermark from its host image, instead of watermark inserting. We construct watermark from low-frequency coefficients in discrete wavelet transform (DWT) domain, which is robust to signal processes. Before DWT, we performs log-polar mapping (LPM) in the host image for being against scaling and cropping. For translation and rotation invariance, we apply Scale Invariant Feature Transform (SIFT) feature descriptors to locate two local invariant keypoints. One of them is regarded as the original of LPM and both of them are as reference points in correcting rotation distortion. Extensive experiments show that our scheme is effective and outperforms the previous watermarking schemes in resisting signal process, aspect ratio change, scaling and shearing.