/SGARN

LI_LAB

Primary LanguagePythonApache License 2.0Apache-2.0

SGARN

Python >=3.6 PyTorch >=1.1

Structure-embedded Ghosting Artifact Suppression Network for High Dynamic Range Image Reconstruction

The official repository for [Structure-embedded Ghosting Artifact Suppression Network for High Dynamic Range Image Reconstruction].

Pipeline

framework

Requirements

Installation

we use /torch >=1.1 / 24G  RTX3090 for training and evaluation.

Prepare Datasets

mkdir data

Download the HDR datasets Kalantari.

Then unzip them and rename them under the directory like.

data
├── Training
│   └── 
│   └── 
│   └── 
├── Test
│   └── 
│   └── 
│   └── 

Train

We utilize 1 RTX3090 GPU for training.

Evaluation

python test.py

Contact

If you have any questions, please feel free to contact me.(tanglf111@qq.com).

Citation

@article{
title = {Structure-embedded ghosting artifact suppression network for high dynamic range image reconstruction},
journal = {Knowledge-Based Systems},
volume = {263},
pages = {110278},
year = {2023},
issn = {0950-7051},
doi = {https://doi.org/10.1016/j.knosys.2023.110278},
}