Recovery of Watermarks from Distorted Images
IH '99 Proceedings of the Third International Workshop on Information Hiding
Geometric Attacks on Image Watermarking Systems
IEEE MultiMedia
Time-scale invariant audio watermarking based on the statistical features in time domain
IH'06 Proceedings of the 8th international conference on Information hiding
Lossless data hiding based on histogram modification of difference images
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
Image watermarking based on invariant regions of scale-space representation
IEEE Transactions on Signal Processing
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
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
Geometric Invariance in image watermarking
IEEE Transactions on Image Processing
Digital watermarking robust to 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
Invariant image watermark using Zernike moments
IEEE Transactions on Circuits and Systems for Video Technology
A DWT-DFT composite watermarking scheme robust to both affine transform and JPEG compression
IEEE Transactions on Circuits and Systems for Video Technology
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Watermark resistance to both geometric attacks and lossy compressions is a fundamental issue in the image watermarking community. In this paper, we propose a DWT (Discrete Wavelet Transform) based watermarking scheme for such a challenging problem. Watermark resistance to geometric deformations is achieved by using the invariance of the histogram shape. In both theoretical analysis and experimental way, we show that the invariance can be extended to the DWT domain thanks to the time-frequency localization property of DWT. Consequently, we achieve the goal to embed a geometrically invariant watermark into the low-frequency sub-band of DWT in such a way that the watermark is not only invariant to various geometric transforms, but also robust to common image processing operations. Extensive simulation results demonstrate the superiority of the proposed watermark strategy due to the use of the histogram shape invariance combined with the DWT technique.