---
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.  

---