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 denoising filtering operation. This paper presents an analysis of the performances of different denoising filters based on diverse noise models when applied for digital camera tracking. In particular, a digital filter, 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.
Analysis of Denoising Filters for Photo Response Non Uniformity Noise Extraction in Source Camera Identification / Amerini, I.; Caldelli, R.; Cappellini, V.; Picchioni, F.; Piva, A.. - (2009), pp. 1-7. (Intervento presentato al convegno DSP 2009:16th International Conference on Digital Signal Processing tenutosi a Santorini; Greece) [10.1109/ICDSP.2009.5201240].
Analysis of Denoising Filters for Photo Response Non Uniformity Noise Extraction in Source Camera Identification
I.Amerini
;
2009
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 denoising filtering operation. This paper presents an analysis of the performances of different denoising filters based on diverse noise models when applied for digital camera tracking. In particular, a digital filter, 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.File | Dimensione | Formato | |
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