Blind multi-frame deconvolution by tangential iterative projections (TIP)

Dean Wilding, Oleg Soloviev, Paolo Pozzi, Gleb Vdovin, Michel Verhaegen

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
51 Downloads (Pure)

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 languageEnglish
Pages (from-to)32305-32322
JournalOptics Express
Volume25
Issue number26
DOIs
Publication statusPublished - 2017

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