LOCALIZATION OF TAMPERING IN CONTRAST AND BRIGHTNESS ADJUSTED IMAGES USING DISTRIBUTED SOURCE CODING AND EXPECTATION MAXIMIZATION

被引：0

作者：

Lin, Yao-Chung ^{[1
]}

Varodayan, David ^{[1
]}

Fink, Torsten ^{[2
]}

Bellers, Erwin ^{[2
]}

Girod, Bernd ^{[1
]}

机构：

[1] Stanford Univ, Informat Syst Lab, Stanford, CA 94305 USA

[2] TriMedia Ctr Excellence, NXP Semiconductors, San Jose, CA 95131 USA

来源：

2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5 | 2008年

关键词：

Image authentication; tampering localization; distributed source coding; Expectation Maximization;

D O I：

10.1109/ICIP.2008.4712227

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Media authentication and tampering localization are important in content delivery via untrusted intermediaries, such as peer-to-peer (P2P) file sharing. Many differently encoded versions of a media file might exist. Our previous work applied distributed source coding to authenticate the legitimate diversity of encoded images and also localize the tampered regions in an inauthentic image. The authentication/localization decoder was supplied with a Slepian-Wolf encoded image projection as authentication data. We extend our scheme to localize tampering in contrast and brightness adjusted images using an Expectation Maximization algorithm at the decoder. Experimental results demonstrate that tampered image blocks can be identified with high probability using data of only a few hundred bytes for a 512x512 image.

引用

页码：2204 / 2207

页数：4

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