ComputingComputer ScienceInformation TechnologyCryptographyDigital ForensicsDigital ImagingDigital Image ProcessingDigital Signal ProcessingImage ProcessingWatermark DesignDigital WatermarkingFrequency-domain WatermarkingImage WatermarkingImage WatermarksRobust WatermarkingRobustnessSingular Value DecompositionWatermark Embedding
Robustness against geometric distortion is one of the crucial important issues in watermarking. In this paper, a new singular value decomposition-discrete wavelet transform (SVD-DWT) composite image watermarking algorithm that is robust against affine transformation and ordinary image processing is presented. We use DWT and IDWT transform to obtain four different frequency images. Watermarking is embedded in high frequency image by singular value decomposition. This is unlike traditional viewpoint that assumes watermarking should be embeds watermarking in low or middle frequency to have good robustness. Experimental evaluation demonstrates that the proposed algorithm is able to withstand a variety of attacks including common geometric attacks
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Rotation, scale, and translation resilient watermarking for images
C.-Y. Lin, Min Wu, Jeffrey A. Bloom et al. · IEEE Transactions on Image Processing · 2001 · 665 citations