| Title |
Imaging Device Identification using Sensor Pattern Noise Based on Wiener Filtering |
| DOI |
https://doi.org/10.5370/KIEE.2016.65.12.2153 |
| Keywords |
Multimedia forensics ; Sensor patter noise ; Imaging device identification ; Wiener filter |
| Abstract |
Multimedia such as image, audio, and video is easy to create and distribute with the advance of IT. Since novice uses them for illegal purposes, multimedia forensics are required to protect contents and block illegal usage. This paper presents a multimedia forensic algorithm for video to identify the device used for acquiring unknown video files. First, the way to calculate a sensor pattern noise using Wiener filter (W-SPN) is presented, which comes from the imperfection of photon detectors against light. Then, the way to identify the device is explained after estimating W-SPNs from the reference device and the unknown video. For the experiment, 30 devices including DSLR, compact camera, smartphone, and camcorder are tested and analyzed quantitatively. Based on the results, the presented algorithm can achieve the 96.0% identification accuracy. |