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http://dx.doi.org/10.3807/JOSK.2015.19.2.136

Parameterized Modeling of Spatially Varying PSF for Lens Aberration and Defocus  

Wang, Chao (Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences)
Chen, Juan (Changchun University of Industry)
Jia, Hongguang (Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences)
Shi, Baosong (Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences)
Zhu, Ruifei (Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences)
Wei, Qun (Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences)
Yu, Linyao (Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences)
Ge, Mingda (Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences)
Publication Information
Journal of the Optical Society of Korea / v.19, no.2, 2015 , pp. 136-143 More about this Journal
Abstract
Image deblurring by a deconvolution method requires accurate knowledge of the blur kernel. Existing point spread function (PSF) models in the literature corresponding to lens aberrations and defocus are either parameterized and spatially invariant or spatially varying but discretely defined. In this paper, a parameterized model is developed and presented for a PSF which is spatially varying due to lens aberrations and defocus in an imaging system. The model is established from the Seidel third-order aberration coefficient and the Hu moment. A skew normal Gauss model is selected for parameterized PSF geometry structure. The accuracy of the model is demonstrated with simulations and measurements for a defocused infrared camera and a single spherical lens digital camera. Compared with optical software Code V, the visual results of two optical systems validate our analysis and proposed method in size, shape and direction. Quantitative evaluation results reveal the excellent accuracy of the blur kernel model.
Keywords
Seidel aberration coefficient; Radially variant blur; Point spread function; Image restoration;
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Times Cited By KSCI : 3  (Citation Analysis)
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