Additive watermark detectors based on a new hierarchical spatially adaptive image model

被引：0
|
作者：
Mairgiotis, Antonis [1 ]
Galatsanos, Nikolaos [1 ]
Yang, Yongi [2 ]
机构：
[1] Univ Ioannina, Dept Comp Sci, GR-45110 Ioannina, Greece
[2] IIT, Dept Elect & Comp Engn, Chicago, IL 60616 USA
来源：
2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7 | 2007年
关键词：
watermarking; statistical methods; source modeling;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper we propose a new family of watermark detectors for additive watermarks in digital images. These detectors are based on a recently proposed two-level, hierarchical image model, which was found to be beneficial for image recovery problems. The top level of this model is defined to exploit the spatially-varying local statistics of the image, while the bottom level is used to characterize the image variations along two principal directions. Based on this model we derive a class of detectors for the additive watermark detection problem, including the generalized likelihood ratio test (GLRT) and Rao detectors.
引用
收藏
页码：2713 / +
页数：2
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