README.md

metadata

language:
  - en
license: cc-by-nc-nd-4.0
tags:
  - image-to-image
  - 16bit-reconstruction
  - hdr
  - custom-vision
datasets:
  - custom-dataset-8bit-to-16bit
metrics:
  - name: Median MAE
    type: regression
    value: 470
  - name: Weighted Mean MAE
    type: regression
    value: 747

16bit-from-8bit Image Reconstruction Model

This model reconstructs 16‑bit per channel images from standard 8‑bit input images. It is trained on paired 8‑bit and 16‑bit data and optimized to preserve color fidelity and high‑frequency detail.

Median MAE: 470
Weighted Mean MAE: 747

Dataset

• Total images: 54,580
  • RAW patch images: 46,000 (~10 GB)
  • 48‑bit synthetic images: 8,580 (~2 GB)

Evaluation Summary

MAE Range	Count	Percent (%)	Accuracy Comment
0–200	1,698	3.11%	Excellent: Almost perfect reconstruction.
201–400	20,344	37.27%	Very good: Minor differences; mostly imperceptible.
401–500	7,556	13.84%	Good: Slight color shifts in uniform areas.
501–1000	15,717	28.79%	Moderate: Noticeable deviations.
1001–2000	5,666	10.38%	Low: Significant perceptual errors.
>2000	3,599	6.59%	Poor: Highly visible errors.

Intended Use

Primary Use Cases

• Reconstruction of 16‑bit per channel images from 8‑bit input.
• HDR post‑processing and enhancement.
• Archival and art restoration workflows.

Not Intended For

• Lossless scientific measurement or precision tasks.

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