Robust image watermarking against local geometric attacks using multiscale block matching method
Journal of Visual Communication and Image Representation
Wavelet-based copyright-protection scheme for digital images based on local features
Information Sciences: an International Journal
Invariant image watermarking using multi-scale Harris detector and wavelet moments
Computers and Electrical Engineering
Local histogram based geometric invariant image watermarking
Signal Processing
IEEE Transactions on Signal Processing
A novel blind watermarking scheme for depth-image-based rendering 3D images
Proceedings of the 1st international workshop on 3D video processing
A novel color image watermarking scheme in nonsampled contourlet-domain
Expert Systems with Applications: An International Journal
Robust audio watermarking by using low-frequency histogram
IWDW'10 Proceedings of the 9th international conference on Digital watermarking
A novel image watermarking in redistributed invariant wavelet domain
Journal of Systems and Software
A robust content based image watermarking using local invariant histogram
Multimedia Tools and Applications
Geometrically invariant image watermarking using SVR correction in NSCT domain
Computers and Electrical Engineering
Histogram-based image hashing for searching content-preserving copies
Transactions on data hiding and multimedia security VI
Journal of Visual Communication and Image Representation
Robust gray-scale logo watermarking in wavelet domain
Computers and Electrical Engineering
A secure algorithm for biometric-based digital image watermarking in DCT domain
International Journal of Computational Vision and Robotics
Reversible data hiding for depth maps using the depth no-synthesis-error model
Information Sciences: an International Journal
Information Sciences: an International Journal
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Watermark resistance to geometric attacks is an important issue in the image watermarking community. Most countermeasures proposed in the literature usually focus on the problem of global affine transforms such as rotation, scaling and translation (RST), but few are resistant to challenging cropping and random bending attacks (RBAs). The main reason is that in the existing watermarking algorithms, those exploited robust features are more or less related to the pixel position. In this paper, we present an image watermarking scheme by the use of two statistical features (the histogram shape and the mean) in the Gaussian filtered low-frequency component of images. The two features are: 1) mathematically invariant to scaling the size of images; 2) independent of the pixel position in the image plane; 3)statistically resistant to cropping; and 4) robust to interpolation errors during geometric transformations, and common image processing operations. As a result, the watermarking system provides a satisfactory performance for those content-preserving geometric deformations and image processing operations, including JPEG compression, lowpass filtering, cropping and RBAs.