Digital Image Forensics Using EM Algorithm

被引：0

作者：

Lin, Tim-kun ^{[1
]}

Huang, Chung-Lin ^{[1
]}

机构：

[1] Fo Guang Univ, Dept Informat, Ilan, Taiwan

来源：

ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2009 | 2009年 / 5879卷

关键词：

Digital Image Forensics; Expectation-Maximization Algorithm;

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：

Digital image forensics has become a very important research topic This paper proposes a method to detect the forgery of digital image by (I) computing the interpolated coefficient for the Images using expectation-maximization (EM) algorithm, (2) generating the probability map. (3) obtaining the frequency spectrum of the probability map, (4) determining whether an image has been tampered based on the periodicity characteristics of the spectrum The experimental results show that our approach is effective to detect Mice different image forgeries (a) an-brush or brush strokes, (b) different blurring filters. and (c) composite image taken from different cameras

引用

下载

页码：994 / 998

页数：5

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