SU-E-I-48: Noise Reduction with Over-Sampling for High Resolution Detectors Using a Spread Function Convolution Method

2015 ◽  
Vol 42 (6Part6) ◽  
pp. 3252-3252 ◽  
Author(s):  
A Shankar ◽  
R Rana ◽  
S Vijayan ◽  
S V Setlur Nagesh ◽  
C Ionita ◽  
...  
1983 ◽  
Vol 37 (6) ◽  
pp. 515-520 ◽  
Author(s):  
Peter Gans ◽  
J. Bernard Gill

General expressions have been derived for the effects of convolution on a set of experimental data, from which the noise reduction may be predicted quantitatively. From these, a new criterion is proposed for the choice of convolution function in terms of the degree, number of convolution points, and number of passes of the convolution function through the data. This criterion gives maximal noise reduction with minimal signal distortion, and is particularly applicable in resolution enhancement applications. The new criteria have been tested with experimental data.


Author(s):  
Hiroyuki Hase ◽  
Masaaki Yoneda ◽  
Mitsuru Sakai ◽  
Hiroshi Maruyama ◽  
Jien Kato

2018 ◽  
Vol 11 (2) ◽  
pp. 756-765
Author(s):  
Ndalla Essengue Gloire ◽  
Wembe Tafo Evariste ◽  
Djamet Yimga Arnaud ◽  
Folla Kamdem Jérôme ◽  
Essimbi Zobo Bernard

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