@inproceedings{ea8af79744b64f71a8dde958b37e33dd,
title = "Digital watermarking schemes using multi-resolution Curvelet and HVS model",
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. {\textcopyright} 2009 Springer.",
keywords = "Curvelet, HVS, Watermarking",
author = "Leung, {H. Y.} and Cheng, {L. M.} and Cheng, {L. L.}",
year = "2009",
doi = "10.1007/978-3-642-03688-0_4",
language = "English",
isbn = "3642036872",
volume = "5703 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "4--13",
booktitle = "Digital Watermarking",
address = "Germany",
note = "8th International Workshop on Digital Watermarking, IWDW 2009 ; Conference date: 24-08-2009 Through 26-08-2009",
}