Digital single lens reflex camera identification from traces of sensor dust

被引：103

作者：

Dirik, Ahmet Emir ^{[1
]}

Sencar, Husrev Taha ^{[2
]}

Memon, Nasir ^{[2
]}

机构：

[1] Polytech Univ, Dept Elect & Comp Engn, Brooklyn, NY 11201 USA

[2] Polytech Univ, Informat Syst & Internet Secur Lab, Brooklyn, NY 11201 USA

来源：

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY | 2008年 / 3卷 / 03期

关键词：

digital forensics; digital single lens reflex (DSLR); sensor dust;

D O I：

10.1109/TIFS.2008.926987

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Digital single lens reflex cameras suffer from a well-known sensor dust problem due to interchangeable lenses that they deploy. The dust particles that settle in front of the imaging sensor create a persistent pattern in all captured images. In this paper, we propose a novel source camera identification method based on detection and matching of these dust-spot characteristics. Dust spots in the image are detected based on a (Gaussian) intensity loss model and shape properties. To prevent false detections, lens parameter-dependent characteristics of dust spots are also taken into consideration. Experimental results show that the propose detection scheme can be used in identification of the source digital single lens reflex camera at low false positive rates, even under heavy compression and downsampling.

引用

页码：539 / 552

页数：14

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