Camera model identification framework using an ensemble of demosaicing features

Existing approaches to camera model identification frequently operate by building a parametric model of a camera component, then using an estimate of these model parameters to identify the source camera model. Since many components in a camera´s processing pipeline are both complex and nonlinear, it is often very difficult to build these parametric models or improve their accuracy. In this paper, we propose a new framework for identifying the model of an image´s source camera. Our framework builds a rich model of a camera´s demosaicing algorithm inspired by Fridrich et al.´s recent work on rich models for steganalysis. We present experimental results showing that our framework can identify the correct make and model of an image´s source camera with an average accuracy of 99.2%.