Comparison of three reconstruction methods based on deconvolution, iterative algorithm and neural network for X-ray fluorescence imaging with coded aperture optics

2020 ◽  
Vol 35 (7) ◽  
pp. 1423-1434 ◽  
Author(s):  
Anico Kulow ◽  
Ana Guilherme Buzanich ◽  
Uwe Reinholz ◽  
Franziska Emmerling ◽  
Sven Hampel ◽  
...  

Superimposed images acquired by XRF with coded aperture optics can be recovered successfully iteratively.

Author(s):  
Shifeng Sun ◽  
Xiaoping Ouyang

The coded images acquired by the XRF imaging system can be reconstructed with a neural network and an iterative algorithm.


Author(s):  
F. BONFIGLI ◽  
S. ALMAVIVA ◽  
G. BALDACCHINI ◽  
F. FLORA ◽  
A. LAI ◽  
...  
Keyword(s):  

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 49912-49919
Author(s):  
Sandun Jayarathna ◽  
Md Foiez Ahmed ◽  
Liam O'ryan ◽  
Hem Moktan ◽  
Yonggang Cui ◽  
...  

Author(s):  
Soumya Ranjan Nayak ◽  
Janmenjoy Nayak ◽  
Utkarsh Sinha ◽  
Vaibhav Arora ◽  
Uttam Ghosh ◽  
...  

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