Paper Info
Title
On Addressing the Impact of ISO Speed Upon PRNU and Forgery Detection
Abstract
AbstractPhoto Response Non-Uniformity (PRNU) has been used as a powerful device fingerprint for image forgery detection because image forgeries can be revealed by finding the absence of the PRNU in the manipulated areas. The correlation between an image’s noise residual with the device’s reference PRNU is often compared with a decision threshold to check the existence of the PRNU. A PRNU correlation predictor is usually used to determine this decision threshold assuming the correlation is content-dependent. However, we found that not only the correlation is content-dependent, but it also depends on the camera sensitivity setting. Camera sensitivity, commonly known by the name of ISO speed, is an important attribute in digital photography. In this work, we will show the PRNU correlation’s dependency on ISO speed. Due to such dependency, we postulate that a correlation predictor is ISO speed-specific, i.e. reliable correlation predictions can only be made when a correlation predictor is trained with images of similar ISO speeds to the image in question. We report the experiments we conducted to validate the postulate. It is realized that in the real-world, information about the ISO speed may not be available in the metadata to facilitate the implementation of our postulate in the correlation prediction process. We hence propose a method called Content-based Inference of ISO Speeds (CINFISOS) to infer the ISO speed from the image content.
Year
DOI
Venue
2021
10.1109/TIFS.2020.3009583
Periodicals
Keywords
DocType
Volume
Correlation, ISO, Cameras, Forgery, Photonics, Nickel, Sensitivity, Digital forensics, image forgery detection, ISO speed, photo response non-uniformity
Journal
16
Issue
ISSN
Citations 
1
1556-6013
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Yijun Quan100.34
Chang-Tsun Li2245.11