1. Performance evaluation of image deconvolution techniques in space-variant astronomical imaging systems with nonlinearities
- Author
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Stanislav Vítek, Petr Páta, Lukas Krasula, Karel Fliegel, Jan Švihlík, Petr Janout, and Jan Bednář
- Subjects
Point spread function ,Blind deconvolution ,Physics ,business.industry ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Image intensifier ,law.invention ,Lens (optics) ,Nonlinear system ,law ,Computer Science::Computer Vision and Pattern Recognition ,Computer vision ,Artificial intelligence ,Deconvolution ,business ,Focus (optics) ,Image restoration - 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.
- Published
- 2015
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