Scientists have developed a system to suppress noise in telescope images. This was reported by the press service of Northwestern University.
The atmosphere seriously interferes with astronomical observations. In big cities, it makes them completely impossible due to the bright light, but even the fresh mountain air imposes limitations. This can be combated with adaptive optics, where multiple actuators deform the mirror to compensate for the “wiggling” of the atmosphere, but such systems are incredibly expensive.
As an inexpensive alternative, Emma Alexander and her colleagues created a computer-aided image enhancement system. They adapted a well-known computer vision algorithm used to sharpen photographs, but applied it to astronomical images from ground-based telescopes. At the same time, the program has been adapted to work with simulations of images from the Vera Rubin telescope, which is scheduled to be operational in a few years.
“By cleaning the images properly, we can get more accurate data. The algorithm removes the atmosphere with computational methods, allowing astronomers to obtain more accurate scientific measurements. In the end, the images also look better,” says Emma about the work.
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