IMAGE TAMPER DETECTION BASED ON DEMOSAICING ARTIFACTS

被引：102
作者：
Dirik, Ahmet Emir [1 ]
Memon, Nasir [2 ]
机构：
[1] NYU, Polytech Inst, Dept Elect & Comp Engn, New York, NY 10003 USA
[2] NYU, Polytech Inst, Dept Comp Sci & Engn, New York, NY 10003 USA
来源：
2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6 | 2009年
关键词：
Digital image forensics; tamper detection; CFA;
D O I：
10.1109/ICIP.2009.5414611
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we introduce tamper detection techniques based on artifacts created by Color Filter Array (CFA) processing in most digital cameras. The techniques are based on computing a single feature and a simple threshold based classifier. The efficacy of the approach was tested over thousands of authentic, tampered, and computer generated images. Experimental results demonstrate reasonably low error rates.
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页码：1497 / +
页数：3
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