CHIRP_(algorithm)
CHIRP (algorithm)
Algorithm used for image processing
CHIRP (Continuous High-resolution Image Reconstruction using Patch priors) is a Bayesian algorithm used to perform a deconvolution on images created in radio astronomy. The acronym was coined by lead author Katherine L. Bouman in 2016.[2][3]
The development of CHIRP involved a large team of researchers from MIT’s Computer Science and Artificial Intelligence Laboratory, the Center for Astrophysics | Harvard & Smithsonian and the MIT Haystack Observatory, including Bill Freeman and Sheperd Doeleman.[4][5] It was first presented publicly by Bouman at the IEEE Computer Vision and Pattern Recognition conference in June 2016.[2]