Name
Title | ||
|---|---|---|
Estimate Of Prnu Noise Based On Different Noise Models For Source Camera Identification |
Abstract | ||
|---|---|---|
Identification of the source that has generated a digital content is considered one of the main open issues in multimedia forensics community. The extraction of photo-response non-uniformity (PRNU) noise has been so far indicated as a mean to identify sensor fingerprint. Such a fingerprint can be estimated from multiple images taken by the same camera by means of a de-noising filtering operation. In this paper, the authors propose a novel method for estimating the PRNU noise in source camera identification. In particular, a MMSE digital filter in the un-decimated wavelet domain, based on a signal-dependent noise model, is introduced and compared with others commonly adopted for this purpose. A theoretical framework and experimental results are provided and discussed. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.4018/jdcf.2010040102 | INTERNATIONAL JOURNAL OF DIGITAL CRIME AND FORENSICS |
Keywords | Field | DocType |
Digital Forensics, Photo Response Non Uniformity, Sensor Fingerprint, Source Camera Identification, Wavelet De-noising Filter | Computer vision,Computer science,Camera identification,Image noise,Artificial intelligence | Journal |
Volume | Issue | ISSN |
2 | 2 | 1941-6210 |
Citations | PageRank | References |
5 | 0.44 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Irene Amerini | 1 | 325 | 21.16 |
| Roberto Caldelli | 2 | 481 | 37.01 |
| Vito Cappellini | 3 | 521 | 64.85 |
| Francesco Picchioni | 4 | 62 | 4.54 |
| Alessandro Piva | 5 | 2231 | 157.21 |