CHIRP (algorithm)
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The CHIRP algorithm (Continuous High-resolution Image Reconstruction using Patch priors) was named by Katherine Bouman[1] and was first presented at the IEEE Computer Vision and Pattern Recognition conference in June 2016.[2] The development of CHIRP involved a team of researchers from MIT’s Computer Science and Artificial Intelligence Laboratory, the Harvard-Smithsonian Center for Astrophysics and the MIT Haystack Observatory, involving Bill Freeman, Sheperd Doeleman, to name a few.[3] The CHIRP was developed for the purpose of the Event Horizon Telescope, the international collaboration that captured the black hole image, and turn it into a cohesive image in 2019. CHIRP algorithm is a algebraic solution for accurate calculations and extraction of visual information from radio signals producing data by radio telescopes scattered around the globe.[1]
References
- ^ a b MIT News Office, Larry Hardesty (June 6, 2016). "A method to image black holes". MIT News.
{{cite web}}: Cite has empty unknown parameter:|dead-url=(help) - ^ Katherine L. Bouman, Michael D. Johnson, Daniel Zoran, Vincent L. Fish, Sheperd S. Doeleman, William T. Freeman (June 2016). "Computational Imaging for VLBI Image Reconstruction". IEEE Conference on Computer Vision and Pattern Recognition (CVPR). June 2016: 913–922 – via Proceedings CVPR 2016 open access by Computer Vision Foundation.
{{cite journal}}: CS1 maint: multiple names: authors list (link) - ^ Shu, Catherine (April 11, 2019). "The creation of the algorithm that made the first black hole image possible was led by MIT grad student Katie Bouman". TechChrunch. Retrieved April 12, 2019.