Application of field dependent polynomial model

Janout, Petr; Páta, Petr; Skala, P.; Fliegel, Karel; Vítek, Stanislav; Bednář, Jan

doi:10.1117/12.2237310

Cited by 1 publication

(2 citation statements)

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“…In this context, a direct estimate of field-dependent Zernike polynomials brings a new approach to the description of space-variant imaging systems. The method was also used for modeling the WILLIAM all-sky camera [51], where the modeling method faced the issue of the presence of the Bayer mask in the system. When we compare our method for estimating field-dependent PSF with other approaches mentioned in the introduction, we obtain similar results.…”

Section: Experimental Laboratory Resultsmentioning

confidence: 99%

“…The contribution of this paper to the description of aberration is via a method for obtaining aberration coefficients in an unknown optical system and for using them in the model of space-variant PSF. The algorithm was used to model the WILLIAM system [51], and the model provided by the approach described here was used in a comparison [50] of deconvolution methods. Further research should address pixel profile sensitivity and sampling methods aimed at improving the way in which the model describes sensor PSF.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2017

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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.

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Section: Experimental Laboratory Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%