Source Camera Identification using Photo Response Noise Uniformity

Nowadays, technology of digital media is increasing rapidly, as the price of mobile phones or any other digital imaging devices is reducing and functionality is increasing, which is making digital imaging very much cheaper in every-day life. Also extraordinary tools and filters of image processing are easily available in these devices and those are easy-to-use which provides effective impact for manipulating the images and can be misused. As a result, in recent years source camera device identification has received great importance. The Photo Response Noise Uniformity is a unique pattern which can be used for identification of source device from captured data like images or videos. As identification of video acquisition devices is one of the considerable problems faced in multimedia forensics, so this paper presents work related to source device identification using PRNU fingerprint. The proposed method aims to classify videos to the respective source devices using simple statistic based algorithm. Extraction of PRNU is performed using denoising filters.