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PSF Estimation of Space-Variant Ultra-Wide Field of View Imaging Systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00311227" target="_blank" >RIV/68407700:21230/17:00311227 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.mdpi.com/2076-3417/7/2/151" target="_blank" >http://www.mdpi.com/2076-3417/7/2/151</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3390/app7020151" target="_blank" >10.3390/app7020151</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    PSF Estimation of Space-Variant Ultra-Wide Field of View Imaging Systems

  • Original language description

    Ultra-wide-field of view (UWFOV) imaging systems are affected by various aberrations, most of which are highly angle-dependent. A description of UWFOV imaging systems, such as microscopy optics, security camera systems and other special space-variant imaging systems, is a difficult task that can be achieved by estimating the Point Spread Function (PSF) of the system. This paper proposes a novel method for modeling the space-variant PSF of an imaging system using the Zernike polynomials wavefront description. The PSF estimation algorithm is based on obtaining field-dependent expansion coefficients of the Zernike polynomials by fitting real image data of the analyzed imaging system using an iterative approach in an initial estimate of the fitting parameters to ensure convergence robustness. The method is promising as an alternative to the standard approach based on Shack-Hartmann interferometry, since the estimate of the aberration coefficients is processed directly in the image plane. This approach is tested on simulated and laboratory-acquired image data that generally show good agreement. The resulting data are compared with the results of other modeling methods. The proposed PSF estimation method provides around 5% accuracy of the optical system model.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10306 - Optics (including laser optics and quantum optics)

Result continuities

  • Project

    <a href="/en/project/GA14-25251S" target="_blank" >GA14-25251S: Nonlinear imaging systems with spatially variant point spread function</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Applied Sciences

  • ISSN

    2076-3417

  • e-ISSN

    2076-3417

  • Volume of the periodical

    7

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    21

  • Pages from-to

  • UT code for WoS article

    000395488900043

  • EID of the result in the Scopus database

    2-s2.0-85013788733