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PRNU (Photo Response Non-Uniformity)

Definition

The unique pattern of pixel-level sensitivity variations in a camera sensor, used as a device fingerprint. A genuine camera-original image carries the source camera's PRNU pattern; an AI-generated image does not. PRNU matching requires a reference flat-field image from the claimed camera.

Fingerprint Type
Device fingerprint. Every camera sensor has a unique PRNU pattern.
Source
Manufacturing imperfections in the image sensor. Pixel-to-pixel sensitivity variations.
AI-Generated Images
Do not carry PRNU because they are not sensor-captured.

Common questions

What does PRNU reveal about a photo's origin?+

Every camera sensor has tiny manufacturing imperfections that create a unique pixel-level sensitivity pattern called PRNU. This pattern shows up in genuine photos from that camera like an invisible fingerprint. AI-generated images don't carry this pattern because they weren't captured by a physical camera.

How do forensic experts use PRNU to detect fakes?+

To confirm a photo came from a specific camera, examiners extract the PRNU pattern from the questioned image and compare it against a reference flat-field image from that camera. If the patterns match, the image is likely camera-original. A mismatch or absence of PRNU suggests manipulation or AI generation.

Why is PRNU stable enough for matching?+

PRNU variations come from defects baked into the sensor during manufacturing. Unlike noise that changes with each photo, PRNU is multiplicative and signal-dependent, meaning it persists consistently across images from the same camera, making it reliable for device identification.

Related terms

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Bitrate Profile
The pattern of bitrate variation across time in a variable-bitrate recording. A camera's rate-control algorithm allocates more bits to complex scenes and...
C2PA (Coalition for Content Provenance and Authenticity)
An open technical standard that embeds cryptographically signed provenance assertions into media files at the point of capture or editing. A C2PA...
Codec Fingerprint
The characteristic pattern of encoding decisions made by a camera's firmware when compressing video: the specific H.264 or H.265 profile and level,...
Colour Pipeline
The sequence of transformations applied to raw sensor data to produce the encoded video signal, including white balance, gamma curve, colour space...
Content-Aware Fill
An image editing feature (Photoshop from CS5; AI-driven from version 22.0) that replaces a masked region with synthesised pixel content matching the...
DCNU (Dark Current Non-Uniformity)
Additive noise generated by thermal activity in pixels even without light. Unlike PRNU, DCNU varies with temperature and camera gain settings, so...
Diffusion Model
A generative neural network architecture (Ho et al., 2020; Stable Diffusion, Rombach et al., 2022) that learns to reverse a noise-addition process...
ESDA (Electrostatic Detection Apparatus)
A non-destructive technique for detecting indented impressions on paper caused by writing pressure. A physical ink signature on paper produces detectable ESDA...
Fixed-Pattern Noise (FPN)
Any repeatable, spatially correlated noise in an image sensor, as opposed to random shot noise. PRNU and DCNU are both forms of...
GAN (Generative Adversarial Network)
A neural architecture introduced by Goodfellow et al. (2014) consisting of a generator and discriminator trained in opposition. The generator learns to...

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