RETRACTED: Adaptive neuro-fuzzy prediction of modulation transfer function of optical lens system

2014 ◽  
Vol 65 ◽  
pp. 54-60 ◽  
Author(s):  
Dalibor Petković ◽  
Shahaboddin Shamshirband ◽  
Nor Badrul Anuar ◽  
Mohd Hairul Nizam Md Nasir ◽  
Nenad T. Pavlović ◽  
...  
2014 ◽  
Vol 117 (1) ◽  
pp. 126-136 ◽  
Author(s):  
Dalibor Petkovi@ ◽  
Shahaboddin Shamshirband ◽  
Nenad T. Pavlovi@ ◽  
Nor Badrul Anuar ◽  
Miss Laiha Mat Kiah

2017 ◽  
Vol 87 ◽  
pp. 153
Author(s):  
Dalibor Petković ◽  
Shahaboddin Shamshirband ◽  
Nor Badrul Anuar ◽  
Mohd Hairul Nizam Md Nasir ◽  
Nenad T. Pavlović ◽  
...  

2014 ◽  
Vol 117 (1) ◽  
pp. 121-131 ◽  
Author(s):  
Dalibor Petković ◽  
Shahaboddin Shamshirband ◽  
Nenad T. Pavlović ◽  
Nor Badrul Anuar ◽  
Miss Laiha Mat Kiah

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Cheng-Mu Tsai

This paper presents ray tracing algorithms to evaluate the geometrical modulation transfer function (GMTF) of optical lens system. There are two kinds of ray tracings methods that can be applied to help simulate the point spread function (PSF) in the image plane, for example, paraxial optics and real ray tracings. The paraxial optics ray tracing is used to calculate the first-order properties such as the effective focal length (EFL) and the entrance pupil position through less cost of computation. However, the PSF could have a large tolerance by only using paraxial optics ray tracing for simulation. Some formulas for real ray tracing are applied in the sagittal and tangential line spread function (LSF). The algorithms are developed to demonstrate the simulation of LSF. Finally, the GMTF is evaluated after the fast Fourier transform (FFT) of the LSF.


2015 ◽  
Author(s):  
S. D. Gunapala ◽  
S. B. Rafol ◽  
D. Z. Ting ◽  
A. Soibel ◽  
C. J. Hill ◽  
...  

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