When analyzing the full structural footprint of an image containing this specific profile ID, forensic platforms read a defined matrix of color coordinates. A full extract of this profile yields the following technical matrix: Metadata Field Parameter Value / Coordinate Connection Space Illuminant 0.9642, 1, 0.82491 Rendering Intent Perceptual Media White Point 0.9505, 1, 1.089 Red Matrix Column 0.43604, 0.22244, 0.0139 Green Matrix Column 0.3851, 0.71693, 0.09708 Blue Matrix Column 0.14307, 0.06062, 0.71393
This property can be used in digital forensics to verify the authenticity of embedded color profiles. 9d91003d4080b03d40742c819ea5228e full
In the context of machine learning or software feature flags, "good feature" usually indicates that this specific identifier has been flagged as high-performing, stable, or "full" (meaning all components of that feature are enabled). Likely Origins Feature Flags/Toggles When analyzing the full structural footprint of an
The profile also includes for the red, green, and blue channels. In the micro ( uRGB ) profile, each curve is a 42‑point lookup table (plus interpolation). This is a compact but fully functional representation, offering accuracy comparable to the full sRGB curve while being much smaller. : A relevant paper often linked to these
: A relevant paper often linked to these forensic results is "TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization" (2023) by Guillaro et al., published in the Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition .
Advanced verification networks, such as the MeVer Image Verification Assistant, parse these exact color structures alongside deep learning engines. Forensic platforms look at structural profile IDs alongside multiple analytical layers:
Varies widely—3 months for a simple app to years for enterprise systems, depending on complexity.