Real-Time Blind Defocus Deblurring for Earth Observation: The IMAGIN-e Mission Approach

This work addresses mechanical defocus in Earth observation images from the IMAGIN-e mission aboard the ISS, proposing a blind deblurring approach adapted to space-based edge computing constraints. Leveraging Sentinel-2 data, our method estimates the defocus kernel and trains a restoration model within a GAN framework, effectively operating without reference images.

@article{mousist2025_2505.22128,
  title={ Real-Time Blind Defocus Deblurring for Earth Observation: The IMAGIN-e Mission Approach },
  author={ Alejandro D. Mousist },
  journal={arXiv preprint arXiv:2505.22128},
  year={ 2025 }
}