Author

Xin Ge

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Preprint Sep 2026

ASTRA-SR: Atmospheric Seeing and Turbulence Restoration for Astronomical Image Super-Resolution

Ground-based planetary imaging suffers from atmospheric turbulence, sensor noise, and limited sampling, making restoration a joint denoising, deblurring, and super-resolution problem. We present ASTRA-SR, a blind single-frame restoration framework trained on a physics-grounded synthetic dataset. High-dynamic-range spac...

Xin Ge, Ziteng Cui, Shuhong Liu · 0 citations

#machine learning Jan 2026

Denoising the Deep Sky: Physics-Based CCD Noise Formation for Astronomical Imaging

This work proposes a physics-based noise synthesis framework tailored to CCD noise formation in the telescope, and demonstrates the effectiveness of this framework in both photometric and scientific accuracy.

Shuhong Liu, Xin Ge, Ziying Gu et al. · arXiv.org · 9 citations