scholarly journals Space-variant point spread function measurement and interpolation at any depth based on single-pixel imaging

2020 ◽  
Vol 28 (7) ◽  
pp. 9244
Author(s):  
Hongzhi Jiang ◽  
Yu Wang ◽  
Xudong Li ◽  
Huijie Zhao ◽  
Yuxi Li
Keyword(s):  
Point Spread Function ◽  
Function Measurement ◽  
Point Spread ◽  
Spread Function ◽  
Single Pixel ◽  
Space Variant

scholarly journals Point Spread Function Measurement Based on Single-Pixel Imaging

2018 ◽  
Vol 10 (6) ◽  
pp. 1-15
Author(s):  
Hongzhi Jiang ◽  
Yangchenxu Liu ◽  
Xudong Li ◽  
Huijie Zhao ◽  
Feng Liu
Keyword(s):  
Point Spread Function ◽  
Function Measurement ◽  
Point Spread ◽  
Spread Function ◽  
Single Pixel

A Splicing Method of Sectioned Restoration Algorithm for Images with Space-Variant Point Spread Function

2009 ◽  
Vol 29 (3) ◽  
pp. 648-653 ◽  
Author(s):  
陶小平 Tao Xiaoping ◽  
冯华君 Feng Huajun ◽  
雷华 Lei Hua ◽  
李奇 Li Qi ◽  
徐之海 Xu Zhihai
Keyword(s):  
Point Spread Function ◽  
Point Spread ◽  
Restoration Algorithm ◽  
Spread Function ◽  
Space Variant

A NOVEL ANALYTICAL SPACE-VARIANT POINT SPREAD FUNCTION MODEL FOR UNDERCORRECTED OPTICAL SYSTEMS

2000 ◽  
Vol 10 (05n06) ◽  
pp. 305-313
Author(s):  
THOMAS P. COSTELLO ◽  
WASFY B. MIKHAEL
Keyword(s):  
Point Spread Function ◽  
Diffraction Theory ◽  
Optical Systems ◽  
Optical Transfer Function ◽  
Point Spread ◽  
Proposed Model ◽  
Direct Sampling ◽  
Spread Function ◽  
Optical Transfer ◽  
Space Variant

An analytical model is developed for the space-variant (SV) point-spread-function (PSF) of an undercorrected optical system with a rectangular aperture. The model accommodates broadening and shifting of the central lobe, as well as sidelobe asymmetry of the PSF, as field angle increases. These effects are exhibited by diffraction-based PSF models. The proposed model uses eight parameters for any specific field position, compared to ~ 210 parameters required for direct sampling of an individual PSF. The model is adapted to PSFs developed from diffraction theory using an adaptive system with gradient descent parameter adjustment. Consequently, the model is useful for applying certain SV digital image restoration methods because it significantly reduces the memory required to store PSF sample functions. In addition, the model does not require samples of the PSF or a DFT operation to obtain samples of the optical transfer function (OTF). Thus, the efficiency of SV restoration methods applied in the frequency domain, such as sectioning approaches, is further improved. Data presented confirms the accuracy and the computational advantage of the model by quantifying its adaptation to a physical PSF over a range of field angles.

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