Digital Camera Identification from Sensor Pattern Noise.

Luka, J., Fridrich, J., & Goljan, M. (2006). Digital Camera Identification from Sensor Pattern Noise. IEEE Transactions on Information Forensics and Security, 1(2), 205-214.

Type

Journal article

Intellectual base

Primary research

Year

2006

Volume

1

Issue

2

Pages

205-214

DOI

10.1109/tifs.2006.873602

DOI registrant

Institute of Electrical and Electronics Engineers

Link

https://doi.org/10.1109/TIFS.2006.873602

Cited from

criminology_forensic

Cited by

2 citations across 2 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Production Signature
  • Photographic camera fingerprint (PRNU) — sensor manufacturing variation produces a noise pattern unique to each sensor, present in every photograph it takes.

    This sourceEstablishes photo-response non-uniformity (PRNU) as an involuntary per-sensor noise fingerprint present in every image, used for camera attribution by correlate-and-threshold.

Mechanisms

• Sensor Fingerprint Analysis
  • From the posted image, analysts estimate the residual — the faint fixed-pattern noise left after subtracting the image content, dominated by photo-response non-uniformity (PRNU), the per-pixel gain variation baked into the sensor at manufacture.

    This sourceExtracts an image noise residual with a denoising filter and identifies its dominant natural-image component as sensor PRNU caused by pixel-sensitivity variation from manufacturing imperfections.

Verification

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Registry ID ref:c6107209cbf1 · see in the full table