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[ascl:1310.003] AIDA: Adaptive Image Deconvolution Algorithm

AIDA is an implementation and extension of the MISTRAL myopic deconvolution method developed by Mugnier et al. (2004) (see J. Opt. Soc. Am. A 21:1841-1854). The MISTRAL approach has been shown to yield object reconstructions with excellent edge preservation and photometric precision when used to process astronomical images. AIDA improves upon the original MISTRAL implementation. AIDA, written in Python, can deconvolve multiple frame data and three-dimensional image stacks encountered in adaptive optics and light microscopic imaging.

Code site:
https://github.com/erikhom/aida
Described in:
https://ui.adsabs.harvard.edu/abs/2007JOSAA..24.1580H
Bibcode:
2013ascl.soft10003H

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ascl:1310.003
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