The software package AIRY 7.0: new efficient deconvolution methods for post-adaptive optics data
| Autor: | Marcel Carbillet, Patrizia Boccacci, Marco Prato, Andrea La Camera, Mario Bertero |
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| Rok vydání: | 2016 |
| Předmět: |
Fizeau interferometer
Deblurring Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 01 natural sciences CAOS Problem-Solving Environment Image deconvolution Multi-component method Multi-step method Scaled Gradient Projection algorithm Software Package AIRY Electronic Optical and Magnetic Materials Condensed Matter Physics Computer Science Applications1707 Computer Vision and Pattern Recognition Applied Mathematics Electrical and Electronic Engineering Computer graphics (images) 0103 physical sciences Electronic Computer vision Optical and Magnetic Materials 0101 mathematics Adaptive optics Projection (set theory) 010303 astronomy & astrophysics High dynamic range Image restoration business.industry 010101 applied mathematics Interferometry Software Package AIRY CAOS Problem-Solving Environment Image deconvolution Scaled Gradient Projection algorithm Multi-component method Multi-step method Artificial intelligence Deconvolution business |
| Zdroj: | Adaptive Optics Systems V. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.2231711 |
| Popis: | The Software Package AIRY (acronym of Astronomical Image Restoration in interferometrY) is a complete tool for the simulation and the deconvolution of astronomical images. The data can be a post-adaptive-optics image of a single dish telescope or a set of multiple images of a Fizeau interferometer. Written in IDL and freely downloadable, AIRY is a package of the CAOS Problem-Solving Environment. It is made of different modules, each one performing a specific task, e.g. simulation, deconvolution, and analysis of the data. In this paper we present the last version of AIRY containing a new optimized method for the deconvolution problem based on the scaled-gradient projection (SGP) algorithm extended with different regularization functions. Moreover a new module based on our multi-component method is added to AIRY. Finally we provide a few example projects describing our multi-step method recently developed for deblurring of high dynamic range images. By using AIRY v.7.0, users have a powerful tool for simulating the observations and for reconstructing their real data. |
| Databáze: | OpenAIRE |
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