See how a new algorithm transforms blurry photos of space

Even the images taken by the world's best ground-based telescopes are blurred by moving

This leads to flawed physical measurements that are essential to understanding the nature of the universe.Now, researchers from Northwestern University in the United States and Tsinghua University in Beijing have presented a new strategy to solve the problem.Scientists have adapted a well-known computer vision algorithm used to sharpen photographs and applied it to astronomical images from ground-based telescopes for the first time. 

The researchers also trained the algorithmartificial intelligence (AI) on data modeled according to the image parameters of the Vera S. Rubin observatory. As a result, when it opens next year, the tool will be compatible with its equipment.

While astrophysicists are already using technology toimage sharpening, an adapted AI-based algorithm is faster and produces more realistic images. While this is not the goal of the technology, the photos look much better, the scientists write.

The purpose of photography is often toget a nice picture. But astronomical images are used for science. By properly cleaning them, we can get more accurate data, ”explains Emma Alexander from Northwestern University in the United States, senior author of the study.

Before "getting" to observers from Earth,light from distant stars, planets, and galaxies passes through the planet's atmosphere. Not only does it block certain wavelengths of light, but it also distorts the light. That's why the stars twinkle and the best ground-based telescopes are located at high altitudes, where the atmosphere is the thinnest.

The study has been peer-reviewed and published in the Monthly Notices of the Royal Astronomical Society, and can also be found in the arxiv.org preprint repository.

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Cover photo: Emma Alexander/Northwestern University