DocumentCode :
2452033
Title :
Imaging system MTF- modeling with modulation functions
Author :
Sukumar, V. ; Hess, Herbert L. ; Noren, Kenneth V. ; Donohoe, Gregory ; Ay, Suat
Author_Institution :
Microelectron. Res. & Commun. Inst., Univ. of Idaho, Moscow, ID
fYear :
2008
fDate :
10-13 Nov. 2008
Firstpage :
1748
Lastpage :
1753
Abstract :
This paper introduces camera imaging module systems involving smaller pixel geometries. Lowering pixel size challenges improving system performance. In any imaging system engineering design, it is important to determine predictive response portfolio. This is studied in this paper using a theoretical model with the help of modulation functions. Predicted response of certain influencing individual subsystems of an imaging system are presented graphically using MATLAB scripts. An attempt is made to collect practical data to support these theoretical measurements. Challenges involved in these measurements are presented with recommendations for future improvement.
Keywords :
cameras; image processing; optical transfer function; MATLAB scripts; camera imaging module systems; imaging system MTF; imaging system engineering design; modulation functions; pixel geometries; pixel size; predictive response portfolio; CMOS image sensors; Cameras; Image resolution; Optical distortion; Optical filters; Optical imaging; Optical sensors; Pixel; Sensor arrays; Transfer functions; Modulation modeling; System MTF (Modulation Transfer Function);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location :
Orlando, FL
ISSN :
1553-572X
Print_ISBN :
978-1-4244-1767-4
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2008.4758218
Filename :
4758218
Link To Document :
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