Paper Info
Title
Unexpected artefacts in PRNU-based camera identification: a 'Dresden Image Database' case-study.
Abstract
Although sensor noise is generally known as a very reliable means to uniquely identify digital cameras, care has to be taken with respect to camera model characteristics that may cause false accusations. While earlier reports focused on so-called linear patterns with a regular grid structure, also distortions due to geometric corrections of radial lens distortion have recently gained interest. Here, we report observations from a case study with the 'Dresden Image Database' that revealed further artefacts. We found diagonal line artefacts in Nikon CoolPix S710 sensor noise, as well as non-trivial dependencies between sensor noise, exposure time (FujiFilm J50) and focal length (Casio EX-Z150). At slower shutter speeds, original J50 images exhibit a slight horizontal shift, whereas EX-Z150 images exhibit irregular geometric distortions, which depend on the focal length and which become visible in the p-map of state-of-the-art resampling detectors. The observed artefacts may provide valuable clues for camera model identification, but also call for particular attention when creating reference noise patterns for applications that require low false negative rates.
Year
DOI
Venue
2012
10.1145/2361407.2361426
MM&Sec
Keywords
Field
DocType
focal length,prnu-based camera identification,reference noise pattern,ex-z150 images exhibit irregular,casio ex-z150,j50 image,nikon coolpix s710 sensor,fujifilm j50,unexpected artefact,camera model characteristic,dresden image,sensor noise,camera model identification,digital image,model identification,lens distortion
Diagonal,Distortion (optics),Computer vision,Reference noise,Regular grid,Shutter speed,Focal length,Artificial intelligence,System identification,Geography,Detector
Conference
Citations 
PageRank 
References 
24
0.98
8
Authors
3
Name
Order
Citations
PageRank
Thomas Gloe134718.08
Stefan Pfennig2515.93
Matthias Kirchner3240.98