A hybrid model for CFA interpolation detection

With the dawn of the digital era and online availability of multimedia, cases like copyright infringement, violation of intellectual property rights and breach of privacy are not so rare. Consequently one has to find out the culprit responsible for such illegal actions. This work presents a passive approach based on intrinsic signature of in-camera color filter array (CFA) interpolation to classify imaging devices. Cameras available in consumer electronics market have two major types of sensor arrays (viz. single sensor and multi-sensor). Depending on the type of sensor array, different processing steps may be employed in these cameras. One such processing step is CFA interpolation which is employed in single sensor camera but not in multi-sensor camera. This work presents a hybrid model for detection of presence or absence of CFA interpolation in camera captured images, which leads to the classification of source camera into two classes. The performance of proposed approach is evaluated by testing on images captured with both types of cameras.