Strehl-constrained reconstruction of post-adaptive optics data & the Software Package AIRY, v. 6.1

被引:2
|
作者
Carbillet, Marcel [1 ]
La Camera, Andrea [2 ]
Deguignet, Jeremy [1 ,3 ]
Prato, Marco [4 ]
Bertero, Mario [2 ]
Aristidi, Eric
Boccacci, Patrizia [2 ]
机构
[1] Univ Nice Sophia Antipolis, Observ Cote Azur, CNRS, UMR JL Lagrange 7293, F-06100 Nice, France
[2] Univ Genoa, DIBRIS, I-16145 Genoa, Italy
[3] Univ Nice Sophia Antipolis, Master Imagerie & Modelisat Astrophys & Geophys E, F-06100 Nice, France
[4] Univ Modena & Reggio Emilia, Dipartimento Sci Fis Informat & Matemat, I-41125 Modena, Italy
来源
ADAPTIVE OPTICS SYSTEMS IV | 2014年 / 9148卷
关键词
post-AO imaging; iterative blind deconvolution; Strehl constraint; Software Package AIRY; CAOS Problem Solving Environment; LBT LINC-NIRVANA; IMAGE-RESTORATION; INTERFEROMETRIC IMAGES; DECONVOLUTION; DISTRIBUTIONS; ALGORITHMS; REDUCTION;
D O I
10.1117/12.2058525
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We first briefly present the last version of the Software Package AIRY, version 6.1, a CAOS-based tool which includes various deconvolution methods, accelerations, regularizations, super-resolution, boundary effects reduction, point-spread function extraction/extrapolation, stopping rules, and constraints in the case of iterative blind deconvolution (IBD). Then, we focus on a new formulation of our Strehl-constrained IBD, here quantitatively compared to the original formulation for simulated near-infrared data of an 8-m class telescope equipped with adaptive optics (AO), showing their equivalence. Next, we extend the application of the original method to the visible domain with simulated data of an AO-equipped 1.5-m telescope, testing also the robustness of the method with respect to the Strehl ratio estimation.
引用
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页数:10
相关论文
共 2 条
  • [1] Strehl-constrained iterative blind deconvolution for post-adaptive-optics data
    Desidera, G.
    Carbillet, M.
    [J]. ASTRONOMY & ASTROPHYSICS, 2009, 507 (03) : 1759 - 1762
  • [2] The Software Package AIRY 7.0: new efficient deconvolution methods for post-adaptive optics data
    La Camera, Andrea
    Carbillet, Marcel
    Prato, Marco
    Boccacci, Patrizia
    Bertero, Mario
    [J]. ADAPTIVE OPTICS SYSTEMS V, 2016, 9909