This is a Neural Network designed to denoise Astro images. The architecture of the Neural Network itself is based on PRIDNet. Additionally, inspired by Starnet V1, a discriminator is used in training to retain high-frequency details.
For training data, pairs of real astro images with short and longer integration times are used.
| Dataset |
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| Short exposure | Short denoised | Long exposure |
|---|---|---|
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Clone repository
git clone https://github.com/Steffenhir/AstroNoiseNet
cd AstroNoiseNet
Create new venv and install required packages
conda create --name AstroNoiseNet python=3.8.15
conda activate AstroNoiseNet
conda install --file requirements.txt