
Phi-Weighted Resonant Reconstruction (PWRR) delivers up to 95–98% structural accuracy at any resolution — while sharpening edges, restoring detail, and smoothing color.

PWRR's Results Speak For Themselves, Structural 99.2% Accuracy From 1080 to 1440

Perfect 1.0000 SSIM on native-resolution cleanup.

Even RAW and DNG are no match for PWRR's accuracy


This is true decompression, not hallucination. PWRR rebuilds the signal; AI guesses at it.

This image is full of digital noise ,

NoScale mode in PWRR reconstructs the image from the original source data, light.
As you can see it the images provided,
PWRR increases detail , smooths color and naturally reduces some noise before handing it off to the AI for De-Noising

Ai alone, flattens images, plasticizes skin texture and removes fine details like they were noise.

Using PWRR's NoScale mode before Ai provides the Ai a better image to work from, smoother color more defined details in the lashes, brows, and hair. the result, less hallucinated details and a more realistic output.



1. Platform License (Annual)
For companies integrating PWRR into existing applications or services.
Includes:
Ideal For:
Streaming, photo editing apps, enterprise imaging software, video platforms, enterprise software.
Per-film or per-season licensing.
Includes:
Integrate PWRR directly into camera, smartphone, or imaging hardware.
Includes:
Usage-based processing for enterprise customers.
Includes:
PWRR-Basic – $199K/year
PWRR-Pro – $750K/year
PWRR-ULTRA – $2.5M+/year
Heading: Built for Accuracy. Not Hallucination:
The phi-weighted sampling engine
Resonant reconstruction process
OKLab harmonic cProtected Under U.S. Provisional Patent
olor stabilizer
Adaptive detail gating
The multi-resolution resonant interpolation grid
GPU/CPU kernels and batch pipelines
Licenses do not grant rights to modify, reverse-engineer, redistribute, or train models using PWRR outputs without explicit approval.
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