AI software enhances ground-based telescope images.

TL;DR Summary
Emma Alexander of Northwestern University and Tianao Li of Tsinghua University have developed new AI-powered software that can sharpen images taken by ground-based telescopes. The software is more accurate than classic methods and more modern methods of blur removal. The team used images taken by the Hubble Space Telescope to train the deep-learning AI and have made the software code open-source, allowing anyone to adapt it to different observatories.
Topics:science#ai#astronomy#ground-based-telescopes#hubble-space-telescope#image-processing#vera-c-rubin-observatory
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