Mobile camera identification using demosaicing features

Mobile cameras are typically low-end cameras equipped on handheld devices such as personal digital assistants and cellular phones. The fast proliferation of these mobile cameras has brought up concerns on the origin and integrity of their output images. In this paper, we identify blindly the source mobile cameras by combining 3 types of demosaicing features extracted from a test image. Through Eigenfeature regularization and feature reduction, comparison results show our Eigen demosaicing features perform significantly better than several conventional features in distinguishing 9 mobile cameras of dissimilar models based on cropped image blocks. By including cameras of the same and very similar models, in 15-cam identification, our Eigen demosaicing features achieves excellent classification accuracies in distinguishing cameras from dissimilar models and the classification accuracies expectedly tend to confuse among cameras of the same or very similar models.