Abstract
We present a novel method to extract the sensor pattern noise (SPN) of digital images and associate them with their respective source camera phones. The method first estimates the photo response non-uniformity (PRNU) of each image by means of its energy level and then converts it to an additive noise to facilitate extraction using Singular Value Decomposition (SVD). The latter is a spectral decomposition technique that separates the PRNU from the signal subspace. The camera reference signatures of the individual cameras are computed from a sample of their respective images and compared with a mixture of image signatures from a set of known camera devices. Our studies show that it is possible to determine the source device of digital images from camera phones using such method of signature extraction, with encouraging results.
| Original language | English |
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| Title of host publication | 2013 IEEE International Conference on Image Processing |
| Publisher | IEEE |
| Pages | 4497-4501 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781479923410 |
| DOIs | |
| Publication status | Published - 13 Feb 2014 |
| Event | 20th IEEE International Conference on Image Processing 2013 - Melbourne, Australia Duration: 15 Sept 2013 → 18 Sept 2013 |
Conference
| Conference | 20th IEEE International Conference on Image Processing 2013 |
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| Abbreviated title | ICIP 2013 |
| Country/Territory | Australia |
| City | Melbourne |
| Period | 15/09/13 → 18/09/13 |
Keywords
- Digital Image Forensics
- PRNU
- Sensor pattern noise
- Singular Value Decomposition
- Source Identification
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition