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AI software helps astronomers deblur galaxies snapped by Earth telescopes


Astronomers have been using telescopes for centuries to study the mysteries of the universe. However, the Earth's atmosphere can cause images captured by telescopes on Earth to become blurred, making it difficult for astronomers to study objects in space in detail. Recently, astronomers have been turning to artificial intelligence (AI) to help them deblur these images and extract more information from them.

The challenge of blurred images:

Telescopes on Earth capture images of space through the Earth's atmosphere, which can cause the images to become blurred. This blurring can make it difficult for astronomers to study objects in space in detail, especially when they are trying to study faint or distant objects.

Using AI to correct the blurring:

Recently, astronomers have been using AI software to correct the blurring in images captured by telescopes on Earth. By training the software on a large dataset of high-quality images, the software can learn to correct the blurring in new images.

The process of deconvolution:

The AI software corrects the blurring in images through a process called deconvolution. This process uses a convolution kernel to estimate the original, unblurred image from the blurred image.

Training the AI software:

To train the AI software, astronomers need a large dataset of high-quality images that have already been corrected for blurring. This dataset is used to teach the software how to estimate the original, unblurred image from the blurred image.

Real-time deblurring:

One of the advantages of using AI software to deblur images is that it can be done in real-time. This allows astronomers to deblur images as they are captured by telescopes on Earth, even as the Earth's atmosphere is constantly changing.

Extracting more information from faint images:

AI software can also be used to extract more information from faint images that may be too faint to be seen by the human eye. The software can extract more information from the blurred image than a human observer can, allowing astronomers to study faint objects in space in more detail.

Correcting for different telescopes:

Different telescopes have different blurring characteristics, and the AI software can be trained to correct for these differences. This allows the software to be used to deblur images from a variety of different telescopes, providing astronomers with even more opportunities to study the universe.

Conclusion:

The use of AI software to deblur images captured by telescopes on Earth is an exciting development in astronomy. By using AI, astronomers can extract more information from images, allowing them to study the universe in more detail than ever before. With the ability to correct for blurring in real-time and to extract more information from faint images, AI software is a powerful tool for astronomers.

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