2. 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

3. Overview l Complex Image Formation Systems l The components involved in a system l The Model l The experiment and the data l Conclusions

4. Hypothesis l Hypothesis - A suite of modules can be developed to model the various sources of MTF and noise of complex image formation systems.

5. CIFS Components Incoming Radiance OpticsDetector Electronics

6. Input Image +

7. Photon Noise Inputs –Weighting Function Size –Percent Brightness Statistical Mean put into the Numerical Recipe’s Poisson Noise Generator

8. Add Photon Noise Inputs –Kernel Size = 5 –% Brightness = 1%

9. Autocorrelation of Exit Pupil

10. Cassegrainian Exit Pupil and MTF Inputs –Outside Radius = 150 –Secondary Radius = 25

12. 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

13. Detector MTF Inputs –FOV = 25° –25 [  m] –200 [mm] –0.95

14. Charge Transfer Efficiency MTF

15. Charge Transfer Efficiency MTF and PTF

16. Detector Noise

17. Detector and Electronics Noise

18. Conclusions l Model will be adaptable to many imaging systems l Each Module has been validated l Suggested Improvements include: l linking all modules together l Adding Additional Components