Abstract
Forensic analyses of digital images rely heavily on the traces of in-camera and out-camera processes left on the acquired images. Such traces represent a sort of camera fingerprint. If one is able to recover them, by suppressing the high-level scene content and other disturbances, a number of forensic tasks can be easily accomplished. A notable example is the PRNU pattern, which can be regarded as a device fingerprint, and has received great attention in multimedia forensics. In this paper, we propose a method to extract a camera model fingerprint, called noiseprint, where the scene content is largely suppressed and model-related artifacts are enhanced. This is obtained by means of a Siamese network, which is…
Citation impact
453
total citations
- FWCI
- 19.60
- Percentile
- 100%
- References
- 85
Citations per year
Authors
2Topics & keywords
Topics
Keywords
- Computer science
- Fingerprint (computing)
- Artificial intelligence
- Computer vision
- Digital camera
- Fingerprint recognition
- Focus (optics)
- Digital forensics
UN Sustainable Development Goals
- Peace, Justice and strong institutions
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