A breakthrough for ground-based astrophotography A new algorithm named ImageMM is showing promise in transforming ground-based telescope images by removing atmospheric blur, bringing them closer to the quality long associated with space telescopes. Developed by Johns Hopkins mathematician Yashil Sukurdeep, the method has completed successful tests on Hawaii’s Mauna Kea with the eight-meter Subaru Telescope…