• 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