Watermarking algorithm based on a human visual model
Signal Processing
A Strategy for Improving Safety Related Software Engineering Standards
IEEE Transactions on Software Engineering
Software safety and reliability: techniques, approaches, and standards of key industrial sectors
Software safety and reliability: techniques, approaches, and standards of key industrial sectors
Software engineering for safety: a roadmap
Proceedings of the Conference on The Future of Software Engineering
An Image Watermarking Scheme using HVS Characteristics and Spread Transform
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
A Robust Image Watermarking Scheme Based on a Novel HVS Model in Curvelet Domain
IIH-MSP '08 Proceedings of the 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing
A Robust Watermarking Scheme Using Selective Curvelet Coefficients
IIH-MSP '08 Proceedings of the 2008 International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Image-adaptive watermarking using visual models
IEEE Journal on Selected Areas in Communications
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In this paper, a robust non-blind watermarking scheme based on Curvelet transform is proposed. This work extends the work proposed by Leung [1] to increase the quality of watermarked image. The proposed algorithm modifies the watermark extracting rule and adds a Human Visual System (HVS model). The experimental results demonstrate that the proposed algorithm can provide great robustness against most image processing methods.