The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
The art of computer programming, volume 2 (3rd ed.): seminumerical algorithms
Watermarking algorithm based on a human visual model
Signal Processing
Communications of the ACM
Digital image watermarking for joint ownership verification without a trusted dealer
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Visibility of wavelet quantization noise
IEEE Transactions on Image Processing
Hidden digital watermarks in images
IEEE Transactions on Image Processing
Robust template matching for affine resistant image watermarks
IEEE Transactions on Image Processing
An improved watermarking technique for multi-user, multi-right environments
Multimedia Tools and Applications
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A blind image watermarking scheme based on secret sharing in discrete wavelet transform domain is proposed. Watermark was divided into n shadows according to secret sharing scheme. And t or more of those shadows can reconstruct the watermark, while t-1 or less shadows could not do it. In order to achieve optimum embedding strategy, a closed loop embedding process is proposed, which is modified iteratively according to results of performance analysis. The convergence of closed loop watermarking is proved. Independent component analysis is utilized so that detector can not merely detect watermark but also can extract it. Before watermark reconstruction, one way hashing function is used to withstand cheating attacks. The experimental results show that it is robust against a wide range of attacks proposed by Stirmark and it is more safety than traditional watermarking techniques.