PRNU extraction + validation
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Updated
May 2, 2026 - Go
PRNU extraction + validation
A Python library for Photo-Response Non-Uniformity (PRNU) noise extraction, camera identification through fingerprint correlation and a ResNet-18-based AI image detector.
Comprehensive image forensics and analysis suite combining traditional techniques with machine learning. Detect manipulations, analyze steganography, extract metadata, and identify camera sources. Includes CLI, REST API, and React-based web dashboard.
Every camera sensor has tiny, fixed manufacturing flaws: each pixel reacts to light a little differently. This pattern is called PRNU (Photo-Response Non-Uniformity). It is unique, stable and invisible, and it ends up in every photo the camera takes.
A.V.A.R. - Authenticity Verification And Rating | AI-Powered Photo Authentication Platform for Photography Competitions. Detects AI-generated images using PRNU analysis, ELA, FFT forensics, and multi-layer verification.
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