Modeling the MTF and Noise Characteristics of Complex

Report
Modeling the MTF and
Noise Characteristics of
Complex Image
Formation Systems
(C.I.F.S.)
Brian M. Bleeze
Center For Imaging Science
May 8, 1998
Overview

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

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Complex Image Formation Systems
The components involved in a system
The Model
The experiment and the data
Conclusions
Hypothesis

Hypothesis - A suite of modules
can be developed to model the
various sources of MTF and noise
of complex image formation
systems.
CIFS Components
Incoming
Radiance
Optics
Detector
Electronics
Input Image
+
Photon Noise
• Inputs
– Weighting Function Size
– Percent Brightness
• Statistical Mean put into the Numerical
Recipe’s Poisson Noise Generator
Add Photon Noise
• Inputs
– Kernel Size =
5
– % Brightness
= 1%
Autocorrelation of Exit
Pupil
Cassegrainian Exit Pupil
and MTF
• Inputs
– Outside Radius
= 150
– Secondary
Radius = 25
Detector MTF
• Detector Elements in the sensor system
averages the input signal over the detector
size in both the x an y directions
• Inputs
– X, Y Detector Element Size
– X, Y Fill Factor
– Effective Focal length
Detector MTF
• Inputs
– FOV = 25°
– 25 [m]
– 200 [mm]
– 0.95
Charge Transfer
Efficiency MTF
Charge Transfer
Efficiency MTF and PTF
Detector Noise
Detector and Electronics
Noise
Conclusions
Model will be adaptable to many
imaging systems
 Each Module has been validated
 Suggested Improvements include:

linking all modules together
 Adding Additional Components


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