A novel Fourier-based approach for camera identification

In this paper the source camera identification problem is considered and novel features for PRNU noise are studied. The regularity of a suitable sampling of the PRNU image is considered and it is measured through the decay of its Fourier spectrum. This single global feature is independent of image filtering and size, but it carries significant information concerning the image. The aim is to use this feature in the classification step. Some preliminary results show that this kind of approach is promising as it is able to reach identification scores that can be comparable to the reference source camera identification method, without requiring any image downsampling or cropping.