Tag: image processing
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ImageMM Could Bring Rubin Observatory Images Closer to Space-Telescope Clarity
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…
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ImageMM: Ground-Based Images Sharpened to Space-Level Clarity
A breakthrough in ground-based imaging A new algorithm called ImageMM has the potential to narrow the gap between ground-based and space-based telescopes by removing the blurring effects of Earth’s atmosphere. Developed by Johns Hopkins mathematician Yashil Sukurdeep, the method has successfully completed tests on a large eight-meter telescope located on Hawaii’s Mauna Kea. The next…