A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A hybrid watermarking technique applied to digital images
Applied Soft Computing
Improving the robustness of DCT-based image watermarking against JPEG compression
Computer Standards & Interfaces
Comprehensive learning particle swarm optimization for reactive power dispatch
Applied Soft Computing
A fragile watermarking scheme for detecting malicious modifications of database relations
Information Sciences: an International Journal
A model for the assessment of watermark quality with regard to fidelity
Journal of Visual Communication and Image Representation
SVD-based digital image watermarking scheme
Pattern Recognition Letters
Robust lossless image watermarking based on α-trimmed mean algorithm and support vector machine
Journal of Systems and Software
An SVD-based watermarking scheme for protecting rightful ownership
IEEE Transactions on Multimedia
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The paper presents a novel blind watermarking scheme for image copyright protection, which is developed in the discrete wavelet transform (DWT) and is based on the singular value decomposition (SVD) and the support vector regression (SVR). Its embedding algorithm hides a watermark bit in the low-low (LL) subband of a target non-overlap block of the host image by modifying a coefficient of U component on SVD version of the block. A blind watermark-extraction is designed using a trained SVR to estimate original coefficients. Subsequently, the watermark bit can be computed using the watermarked coefficient and its corresponding estimate coefficient. Additionally, the particle swarm optimization (PSO) is further utilized to optimize the proposed scheme. Experimental results show the proposed scheme possesses significant improvements in both transparency and robustness, and is superior to existing methods under consideration here.