DocumentCode :
781418
Title :
Digital Single Lens Reflex Camera Identification From Traces of Sensor Dust
Author :
Dirik, Ahmet Emir ; Sencar, Husrev Taha ; Memon, Nasir
Author_Institution :
Dept. of Electr. & Comput. Eng., Polytech. Univ., Brooklyn, NY
Volume :
3
Issue :
3
fYear :
2008
Firstpage :
539
Lastpage :
552
Abstract :
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 proposed 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.
Keywords :
cameras; dust; image sensors; lenses; digital single lens reflex camera identification; dust particles that; imaging sensor; intensity loss model; interchangeable lenses; lens parameter-dependent characteristics; sensor dust problem; source camera identification method; Digital forensics; digital single lens reflex (DSLR); sensor dust;
fLanguage :
English
Journal_Title :
Information Forensics and Security, IEEE Transactions on
Publisher :
ieee
ISSN :
1556-6013
Type :
jour
DOI :
10.1109/TIFS.2008.926987
Filename :
4558161
Link To Document :
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