Detecting hidden messages using higher-order statistical models

被引：0
|
作者：
Farid, H [1 ]
机构：
[1] Dartmouth Coll, Dept Comp Sci, Hanover, NH 03755 USA
来源：
2002 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL II, PROCEEDINGS | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Techniques for information hiding have become increasingly more sophisticated and widespread. With high-resolution digital images as carriers, detecting hidden messages has become considerably more difficult. This paper describes a new approach to detecting hidden messages in images. The approach uses a wavelet-like decomposition to build higher-order statistical models of natural images. A Fisher linear discriminant analysis is then used to discriminate between untouched and adulterated images.
引用
收藏
页码：905 / 908
页数：4
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