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Parameterized Modeling of Spatially Varying PSF for Lens Aberration and Defocus
Wang Chao,Chen Juan,Jia Hongguang,Shi Baosong,Zhu Ruifei,Wei Qun,Yu Linyao,Ge Mingda 한국광학회 2015 Current Optics and Photonics Vol.19 No.2
Image deblurring by a deconvolution method requires accurate knowledge of the blur kernel. Existingpoint spread function (PSF) models in the literature corresponding to lens aberrations and defocus are eitherparameterized and spatially invariant or spatially varying but discretely defined. In this paper, aparameterized model is developed and presented for a PSF which is spatially varying due to lens aberrationsand defocus in an imaging system. The model is established from the Seidel third-order aberrationcoefficient and the Hu moment. A skew normal Gauss model is selected for parameterized PSF geometrystructure. The accuracy of the model is demonstrated with simulations and measurements for a defocusedinfrared camera and a single spherical lens digital camera. Compared with optical software Code V, thevisual 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
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