• Method 1: Machine learning classification
  • Challenge 1: Classifiers can't generalise across generators
  • Challenge 2: The statistical gap is closing
  • Method 2: Explicit declaration
  • The shared limit of the Explicit Declaration method
  • Limit 1: Edits that bypass declaration systems
  • Limit 2: No declaration, no signal
  • Method 3: Forensic analysis
  • Signal 1: C2PA provenance validation
  • Signal 2: High-pass filter residual
  • Signal 3: Wavelet high-frequency energy ratio
  • Signal 4: NSS Benford analysis
  • Signal 5: Error level analysis
  • Signal 6: Metadata absence profile
  • Why signal independence matters
  • Where forensic detection has limits
  • Coming soon: C2PA cryptographic chain verification
  • Try it on any image
  • The honest picture
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Tag: AI

Blurred forest scene with a heat map overlay showing where something has been possibility modified
Blog / Digital Forensics · 1 July 2026

How to Forensically Detect AI-Generated Images — No Detection Model Required

Three methods now exist for identifying AI-generated images. Two of them fail when the creator says nothing. This article covers all three — and goes deep on the forensic signals that work regardless of what any label says.

deepmind-flower-pixelated
Blog / Digital Forensics · 13 February 2024

Revolutionising Image Compression: AI Enhancing WebP and JPEG with Human-Eye Perception

These days I’ve been busy on my latest project at snapWONDERS focused on our latest research development with AI and image processing. AI has the remarkable potential to enhance existing …

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