Abstract
Photo-response non-uniformity (PRNU) noise has been well established as a reliable fingerprint of imaging sensors for source camera identification and other forensic applications. In this paper, we introduce a novel denoising method for PRNU noise extraction that considerably outperforms the existing techniques. The rationale is to use as little as one adjacent pixel in spatial domain filtering to suppress the pixel-to-pixel correlation in the estimation of the (supposedly white) PRNU noise. Experimental results are presented based on an image database of ten cameras of different models and makes. These results are embodied in the receiver operating characteristic (ROC) of source camera identification.
| Original language | English |
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| Title of host publication | 2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) |
| Place of Publication | Piscataway |
| Publisher | IEEE |
| Pages | 1-5 |
| ISBN (Print) | 978-1-4673-7632-7 |
| DOIs | |
| Publication status | Published - 26 Oct 2015 |
| Event | 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2015 - Karlsruhe Duration: 26 Oct 2015 → … |
Conference
| Conference | 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2015 |
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| Period | 26/10/15 → … |
Keywords
- receiver operating characteristic
- image filtering approach
- sensor fingerprint estimation
- source camera identification
- photo-response nonuniformity noise
- imaging sensors
- denoising method
- PRNU noise extraction
- spatial domain filtering
- pixel-to-pixel correlation
- image database