A robust image watermarking algorithm using SVR detection
Expert Systems with Applications: An International Journal
Invariant image watermarking using multi-scale Harris detector and wavelet moments
Computers and Electrical Engineering
A new robust digital image watermarking based on Pseudo-Zernike moments
Multidimensional Systems and Signal Processing
A novel color image watermarking scheme in nonsampled contourlet-domain
Expert Systems with Applications: An International Journal
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
Journal of Visual Communication and Image Representation
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This paper addresses a geometrically invariant watermarking method for digital images. Most previous watermarking algorithms perform weakly against geometric distortions, which desynchronize the location for the inserted watermark. Watermark synchronization, which is a process for finding the location for watermark insertion and detection, is crucial for robust watermarking. In this paper, we propose a watermarking method that is robust to geometric distortions. In order to synchronize the location for watermark insertion and detection, we use circular Hough transform, which extracts circular features that are invariant to geometric distortions. The circular features are then watermarked using additive way on the spatial domain. Our method belongs to the category of blind watermarking techniques, because we do not need the original image during detection. Experimental results support the contention that our method is useful and considerably robust against both geometric distortion attacks and signal processing attacks as listed in Stirmark 3.1.