Abstract
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. © 2009 Springer.
Author supplied keywords
Cite
CITATION STYLE
Leung, H. Y., Cheng, L. M., & Cheng, L. L. (2009). Digital watermarking schemes using multi-resolution Curvelet and HVS model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5703 LNCS, pp. 4–13). https://doi.org/10.1007/978-3-642-03688-0_4
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
