Visual Forensics

The growing challenge of image authenticity is one of the most important developments in Photo Intelligence.

Let’s face it: we’ve lost the ability to fully trust what we see.

Real images are edited, filtered, enhanced, and computationally processed, while AI-generated or AI-enhanced images are no longer obviously fake.

As a result, synthetic media analysis increasingly requires a new form of Visual Forensics: technical image analysis that sheds light on often conflicting signals of manipulation, editing, diffusion, provenance, and authenticity.

Not just detection — but reasoning and explanation aimed at deeper understanding.

Visual Forensics

What Should Replace the Expert Eye Once the Expert Eye Is No Longer Enough?

An expert consultation A missile crossed a blue sky and struck a school building in Iran. The video had already been seen more than a million...
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Visual Forensics

SignalLens 0.0.1-beta is now available for early-access testing

SignalLens, the local visual-forensics tool for explainable image analysis, is now available as a Windows early-access beta. SignalLens is not a simple ‘AI detector’. Nor...
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Visual Forensics

Beyond AI Detection: Building SignalLens

Figure 1: The Detector Problem Toward Explainable Visual Forensics A previous article exposed what I called the collapse of visual certainty. In short, it’s getting increasingly...
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Visual Forensics

Why AI Image Detection Is Broken — And What Actually Works

The collapse of visual certainty At first, we thought we would always be able to tell. A strange finger, a distorted eye or a slightly...
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