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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.
## Dataset
- **Total images:** 54,580
- **RAW patch images:** 46,000 (~10 GB)
- **48‑bit synthetic images:** 8,580 (~2 GB)
- Edge Aware has hand selected 1,975 patches.
## Evaluation Summary
| MAE is increased from base model, however edge aware training increased sharpness in many cases. Both Entropy and Edge Density has incresed vs. simply scaling 8bit images to 16bit.
## 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.
--- |