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.
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.