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, PSF 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 (SC) IBD, here quantitatively compared to the original formulation for simulated data of FLAO/LBT in the near-infrared domain, showing their equivalence. Next, we extend the application of the original method to the visible domain with simulated data of ODISSEE/M´eO, testing also the robustness of the method with respect to the Strehl ratio (SR) estimation.
Strehl-constrained blind deconvolution of post-adaptive optics data & the Software Package AIRY, v. 6.1 / M., Carbillet; A., La Camera; J., Deguignet; Prato, Marco; M., Bertero; E., Aristidi; P., Boccacci. - STAMPA. - (2014).
Strehl-constrained blind deconvolution of post-adaptive optics data & the Software Package AIRY, v. 6.1
PRATO, Marco;
2014
Abstract
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, PSF 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 (SC) IBD, here quantitatively compared to the original formulation for simulated data of FLAO/LBT in the near-infrared domain, showing their equivalence. Next, we extend the application of the original method to the visible domain with simulated data of ODISSEE/M´eO, testing also the robustness of the method with respect to the Strehl ratio (SR) estimation.
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