Single-Image HDR Reconstruction Assisted Ghost Suppression and Detail Preservation Network for Multi-Exposure HDR Imaging
The official repository for [Single-Image HDR Reconstruction Assisted Ghost Suppression and Detail Preservation Network for Multi-Exposure HDR Imaging].
we use /torch >=1.10 / 24G RTX3090 for training and evaluation.
mkdir data
Download the HDR datasets Kalantari's data and Hu's data.
Then unzip them and rename them under the directory like.
data
├── Training
│ └──
│ └──
│ └──
├── Test
│ └──
│ └──
│ └──
To generate the enhanced stop image (ESI) as required in the paper.
cd dataset
python data_argument.py
We utilize 1 RTX3090 GPU for training.
python train.py
python test.py
If you have any questions, please feel free to contact me.(yangtongxue123_km@163.com).