Abstract
A methodology for retrieving the unknown object distribution and point-spread functions (PSFs) from a set of images acquired in the presence of temporal phase aberrations is presented in this paper. The method works by finding optimal complimentary linear filters for multi-frame deconvolution. The algorithm uses undemanding computational operations and few a priori, making it simple, fast and robust even at low signal-to-noise ratios. Results of numerical simulations and experimental tests are given as empirical proof, alongside comparisons with other algorithms found in the literature.
Original language | English |
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Pages (from-to) | 32305-32322 |
Journal | Optics Express |
Volume | 25 |
Issue number | 26 |
DOIs | |
Publication status | Published - 2017 |