Modeling the MTF and Noise Characteristics of

Complex Image Formation Systems

(C.I.F.S.)Brian M. Bleeze

Center For Imaging ScienceMay 8, 1998

Overview

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