Blind multi-frame deconvolution by tangential iterative projections (TIP)
D. Wilding (TU Delft - Team Raf Van de Plas)
O.A. Soloviev (ITMO University, TU Delft - Team Raf Van de Plas, Flexible Optical B.V.)
P. Pozzi (TU Delft - Team Raf Van de Plas)
Gleb Vdovin (Flexible Optical B.V., TU Delft - Team Raf Van de Plas, ITMO University)
M.H.G. Verhaegen (TU Delft - Team Raf Van de Plas)
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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.