scholarly journals Review of single image signal-to-noise ratio estimation for SEM image

2013 ◽  
Author(s):  
K. S. Sim ◽  
M. E. Nia ◽  
C. P. Tso
Keyword(s):  
Signal To Noise Ratio ◽  
Ratio Estimation ◽  
Single Image ◽  
Signal To Noise ◽  
Sem Image ◽  
Noise Ratio

scholarly journals Single-image signal-to-noise ratio estimation

Scanning ◽  
2006 ◽  
Vol 23 (5) ◽  
pp. 328-336 ◽  
Author(s):  
J. T. L. Thong ◽  
K. S. Sim ◽  
J. C. H. Phang
Keyword(s):  
Signal To Noise Ratio ◽  
Ratio Estimation ◽  
Single Image ◽  
Signal To Noise ◽  
Noise Ratio

Information capacity and bandwidth limitations in the SEM

1989 ◽  
Vol 47 ◽  
pp. 84-85
Author(s):  
D. C. Joy ◽  
R. D. Bunn
Keyword(s):  
Signal To Noise Ratio ◽  
Critical Dimension ◽  
Information Capacity ◽  
Acquisition Time ◽  
Signal To Noise ◽  
Sem Image ◽  
Probe Size ◽  
Minimum Number ◽  
Noise Ratio ◽  
Signal Channel

The information available from an SEM image is limited both by the inherent signal to noise ratio that characterizes the image and as a result of the transformations that it may undergo as it is passed through the amplifying circuits of the instrument. In applications such as Critical Dimension Metrology it is necessary to be able to quantify these limitations in order to be able to assess the likely precision of any measurement made with the microscope.The information capacity of an SEM signal, defined as the minimum number of bits needed to encode the output signal, depends on the signal to noise ratio of the image - which in turn depends on the probe size and source brightness and acquisition time per pixel - and on the efficiency of the specimen in producing the signal that is being observed. A detailed analysis of the secondary electron case shows that the information capacity C (bits/pixel) of the SEM signal channel could be written as :

Frame-Level Signal-to-Noise Ratio Estimation Using Deep Learning

2020 ◽  
Author(s):  
Hao Li ◽  
DeLiang Wang ◽  
Xueliang Zhang ◽  
Guanglai Gao
Keyword(s):  
Deep Learning ◽  
Signal To Noise Ratio ◽  
Ratio Estimation ◽  
Signal To Noise ◽  
Noise Ratio

scholarly journals Signal-to-Noise Ratio Estimation in Passive Correlation-Based Imaging

2013 ◽  
Vol 6 (2) ◽  
pp. 1092-1110 ◽  
Author(s):  
Josselin Garnier ◽  
George Papanicolaou ◽  
Adrien Semin ◽  
Chrysoula Tsogka
Keyword(s):  
Signal To Noise Ratio ◽  
Ratio Estimation ◽  
Signal To Noise ◽  
Noise Ratio
Sign in / Sign up

Export Citation Format

Share Document