Constrained wavelet tree quantization for image watermarking

Min-Jen Tsai*, Chen Long Lin

*此作品的通信作者

研究成果: Conference contribution同行評審

5 引文 斯高帕斯(Scopus)

摘要

This paper investigates the operations of the wavelet tree based quantization and proposes a constrained wavelet tree quantization for image watermarking. The wavelet coefficients of the cover image are grouped into super trees for watermark embedding where quantization is performed. The watermark bits are extracted based on a modulus approach and the minimum mean comparison of the super tree coefficients efficiently distinguishes which super tree is quantized. Without the needs of the requantization index at the decoder, the constrained quantization of the super trees reduces the uncertainty of the maximum likelihood detection. Therefore, the robustness of the proposed scheme can be effectively improved. This study has performed intensive comparison for the proposed scheme with the non-constrained tree quantization method under various geometric and nongeometric attacks. The experiment results demonstrate that the proposed technique yields better performance with higher degree of robustness.

原文English
主出版物標題2007 IEEE International Conference on Communications, ICC'07
頁面1350-1354
頁數5
DOIs
出版狀態Published - 2007
事件2007 IEEE International Conference on Communications, ICC'07 - Glasgow, Scotland, United Kingdom
持續時間: 24 6月 200728 6月 2007

出版系列

名字IEEE International Conference on Communications
ISSN(列印)0536-1486

Conference

Conference2007 IEEE International Conference on Communications, ICC'07
國家/地區United Kingdom
城市Glasgow, Scotland
期間24/06/0728/06/07

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