• DocumentCode
    1503171
  • Title

    Smart adaptive optic systems using spatial light modulators

  • Author

    Clark, Natalie ; Banish, Michele ; Ranganath, Heggere S.

  • Author_Institution
    Phillips Lab., Kirtland AFB, NM, USA
  • Volume
    10
  • Issue
    3
  • fYear
    1999
  • fDate
    5/1/1999 12:00:00 AM
  • Firstpage
    599
  • Lastpage
    603
  • Abstract
    Many factors contribute to the aberrations induced in an optical system. Atmospheric turbulence between the object and the imaging system, physical or thermal perturbations in optical elements degrade the system´s point spread function, and misaligned optics are the primary sources of aberrations that affect image quality. The design of a nonconventional real-time adaptive optic system using a micro-mirror device for wavefront correction is presented. The unconventional compensated imaging system presented offers advantages in speed, cost, power consumption, and weight. A pulsed-coupled neural network is used to as a preprocessor to enhance the performance of the wavefront sensor for low-light applications. Modeling results that characterize the system performance are presented
  • Keywords
    aberrations; adaptive optics; atmospheric optics; micro-optics; mirrors; optical design techniques; optical neural nets; optical transfer function; real-time systems; spatial light modulators; wavefront sensors; aberrations; atmospheric turbulence; low-light applications; micro-mirror device; misaligned optics; nonconventional real-time adaptive optic system; physical perturbations; point spread function; power consumption; pulsed-coupled neural network; smart adaptive optic systems; spatial light modulators; thermal perturbations; unconventional compensated imaging system; wavefront correction; wavefront sensor; Adaptive optics; Atmospheric waves; Image quality; Optical computing; Optical design; Optical imaging; Optical modulation; Optical sensors; Real time systems; Thermal degradation;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/72.761717
  • Filename
    761717