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Proceedings Article

Performance evaluation of image deconvolution techniques in space-variant astronomical imaging systems with nonlinearities

[+] Author Affiliations
Karel Fliegel, Petr Janout, Jan Bednář, Lukáš Krasula, Stanislav Vítek, Jan Švihlík, Petr Páta

Czech Technical Univ. in Prague (Czech Republic)

Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 959927 (September 22, 2015); doi:10.1117/12.2187888
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From Conference Volume 9599

  • Applications of Digital Image Processing XXXVIII
  • Andrew G. Tescher
  • San Diego, California, United States | August 09, 2015

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. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Karel Fliegel ; Petr Janout ; Jan Bednář ; Lukáš Krasula ; Stanislav Vítek, et al.
" Performance evaluation of image deconvolution techniques in space-variant astronomical imaging systems with nonlinearities ", Proc. SPIE 9599, Applications of Digital Image Processing XXXVIII, 959927 (September 22, 2015); doi:10.1117/12.2187888; http://dx.doi.org/10.1117/12.2187888


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