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Proceedings Paper

Performance evaluation of image deconvolution techniques in space-variant astronomical imaging systems with nonlinearities
Author(s): Karel Fliegel; Petr Janout; Jan Bednář; Lukáš Krasula; Stanislav Vítek; Jan Švihlík; Petr Páta
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Paper Abstract

There are various deconvolution methods for suppression of blur in images. In this paper a survey of image deconvolution techniques is presented with focus on methods designed to handle images acquired with wide-field astronomical imaging systems. Image blur present in such images is space-variant especially due to space-variant point spread function (PSF) of the lens. The imaging system can contain also nonlinear electro-optical elements. Analysis of nonlinear and space-variant imaging systems is usually simplified so that the system is considered as linear and space-invariant (LSI) under specific constraints. Performance analysis of selected image deconvolution methods is presented in this paper, while considering space-variant nature of wide-field astronomical imaging system. Impact of nonlinearity on the overall performance of image deconvolution technique is also analyzed. Test images with characteristics obtained from the real system with space-variant wide-field input lens and nonlinear image intensifier are used for the performance analysis.

Paper Details

Date Published: 22 September 2015
PDF: 14 pages
Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 959927 (22 September 2015); doi: 10.1117/12.2187888
Show Author Affiliations
Karel Fliegel, Czech Technical Univ. in Prague (Czech Republic)
Petr Janout, Czech Technical Univ. in Prague (Czech Republic)
Jan Bednář, Czech Technical Univ. in Prague (Czech Republic)
Lukáš Krasula, Czech Technical Univ. in Prague (Czech Republic)
LUNAM Univ. - IRCCyN CNRS (France)
Stanislav Vítek, Czech Technical Univ. in Prague (Czech Republic)
Jan Švihlík, Czech Technical Univ. in Prague (Czech Republic)
Univ. of Chemistry and Technology (Czech Republic)
Petr Páta, Czech Technical Univ. in Prague (Czech Republic)


Published in SPIE Proceedings Vol. 9599:
Applications of Digital Image Processing XXXVIII
Andrew G. Tescher, Editor(s)

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