Open access
Oct 2026
Data-driven point spread function parameterization with generative neural networks. Application to high-contrast VLT/SPHERE observations
The impulse response, or point spread function (PSF), of an optical system plays a central role in many image analysis problems, including deconvolution and detection. Obtaining accurate and noise-free PSF estimates remains challenging, especially for ground-based observations, where the PSF depends on both instrumenta...
T. Santos, F. Soulez, T. Bodin et al.
· Astronomy & Astrophysics · 0 citations