Increasing field of view and signal to noise ratio in the quantitative phase imaging with phase shifting holography based on the Hanbury Brown-Twiss approach

2022 ◽  
Vol 148 ◽  
pp. 106771
Author(s):  
Li Chen ◽  
Ziyang Chen ◽  
Rakesh Kumar Singh ◽  
R.V. Vinu ◽  
Jixiong Pu
Keyword(s):  
Signal To Noise Ratio ◽  
Phase Shifting ◽  
Field Of View ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Signal To Noise ◽  
Quantitative Phase ◽  
Noise Ratio

Real-time quantitative phase imaging based on transport of intensity equation with dual simultaneously recorded field of view

2016 ◽  
Vol 41 (7) ◽  
pp. 1427 ◽  
Author(s):  
Xiaolin Tian ◽  
Wei Yu ◽  
Xin Meng ◽  
Aihui Sun ◽  
Liang Xue ◽  
...  
Keyword(s):  
Real Time ◽  
Field Of View ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase ◽  
Transport Of Intensity Equation

Unlimited field-of-view optofluidic quantitative phase imaging

2016 ◽  
Author(s):  
V. Bianco ◽  
M. Paturzo ◽  
V. Marchesano ◽  
P. Ferraro
Keyword(s):  
Field Of View ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase

scholarly journals Analysis of Signal to Noise Ratio in Coronagraph Observations of Coronal Mass Ejections

2020 ◽  
Author(s):  
Johannes Hinrichs ◽  
Jackie A. Davies ◽  
Matthew J. West ◽  
Volker Bothmer ◽  
Bram Bourgoignie ◽  
...  
Keyword(s):  
Coronal Mass Ejections ◽  
Signal To Noise Ratio ◽  
European Space Agency ◽  
Leading Edge ◽  
Outer Edge ◽  
Field Of View ◽  
Signal To Noise ◽  
Space Agency ◽  
Noise Ratio ◽  
Improved Performance

<p>Aims. We analyse the Signal-to-Noise Ratio (SNR) requirements of the European Space Agency (ESA)-funded Solar Coronagraph for OPErations (SCOPE) instrument with respect to the manual and automatic detection of Coronal Mass Ejections (CMEs) in its field of view of 2.5 to 30 solar radii.<br />Methods. For our analysis, SNR values are estimated from observations made by the C3 coronagraph on the Solar and Heliospheric Observatory (SOHO) spacecraft for a number of di erent CMEs. Additionally, we generate a series of artificial coronagraph images, each consisting of a modelled coronal background and a CME, the latter simulated using the Graduated Cylindrical Shell (GCS) model together with the SCRaytrace code available in the Interactive Data Language (IDL) SolarSoft library. Images are created with CME SNR levels between 0.5 and 10 at the outer<br />field of view (FOV) edge, generated by adding Poisson noise, and velocities between 700 km s-1 and 2800 kms-1. The images are analysed for the detectability of the CME above the noise with the automatic CME detection tool CACTus.<br />Results. We find in the analysed C3 images that CMEs near the outer edge of the field of view are typically 2%of the total brightness and have an SNR between 1 and 4 at their leading edge. The automated detection of CMEs in our simulated images by CACTus succeeded well down to SNR = 1 and for CME velocities up to 1400 kms-1. At lower SNR and higher velocity of 2100 kms-1 the detection started to break down. For SCOPE, the results from the two approaches confirm that the initial design goal of SNR = 4 would, if achieved, deliver improved performance over established data used in operations today.</p>

The effect of activity outside the field-of-view on image signal-to-noise ratio for 3D PET with15O

2011 ◽  
Vol 56 (10) ◽  
pp. 3061-3072 ◽  
Author(s):  
Masanobu Ibaraki ◽  
Shigeki Sugawara ◽  
Kazuhiro Nakamura ◽  
Fumiko Kinoshita ◽  
Toshibumi Kinoshita
Keyword(s):  
Signal To Noise Ratio ◽  
Field Of View ◽  
Signal To Noise ◽  
Noise Ratio ◽  
3D Pet

scholarly journals High-speed phase-shifting common-path quantitative phase imaging with a piezoelectric actuator

2016 ◽  
Vol 21 (12) ◽  
pp. 1 ◽  
Author(s):  
Séverine Coquoz ◽  
Amir Nahas ◽  
Miguel Sison ◽  
Antonio Lopez ◽  
Theo Lasser
Keyword(s):  
Piezoelectric Actuator ◽  
High Speed ◽  
Phase Shifting ◽  
Phase Imaging ◽  
Quantitative Phase Imaging ◽  
Quantitative Phase ◽  
Common Path
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