Estimate of PRNU Noise Based on Different Noise Models for Source Camera Identification
| Type of publication: | Article |
| Citation: | amerini-etal-ijdcf10 |
| Journal: | International Journal of Digital Crime and Forensics |
| Volume: | 2 |
| Number: | 2 |
| Year: | 2010 |
| Pages: | 21-33 |
| 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. |
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| Added by: | [ADM] |
| Total mark: | 0 |
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