Blind identification of cellular phone cameras

摘要: In this paper, we focus on blind source cell-phone identification problem. It is known various artifacts in the image processing pipeline, such as pixel defects or unevenness of responses CCD sensor, black current noise, proprietary interpolation algorithms involved color filter array [CFA] leave telltale footprints. These artifacts, although often imperceptible, are statistically stable and can be considered a signature camera type even individual device. For purpose, explore set forensic features, binary similarity measures, quality measures higher order wavelet statistics conjunction SVM classifier to identify originating type. We provide results among 9 different brand cameras. addition our initial results, applied geometrical operations original images investigate how much proposed method robust under these manipulations.