• DocumentCode
    2001381
  • Title

    Photon noise bias in computed bispectra

  • Author

    Dudgeon, Dan E. ; Beletic, James ; Lane, Mark

  • Author_Institution
    MIT Lincoln Lab., Lexington, MA, USA
  • fYear
    1989
  • fDate
    6-8 Sep 1989
  • Firstpage
    171
  • Lastpage
    172
  • Abstract
    Summary form only given. Recent work in developing techniques for the removal of photon noise (shot noise) from two-dimensional power spectra and bispectra is reported. The general problem of speckle imaging (i.e. imaging through atmospheric turbulence), has been addressed. The general approach is to take a set of very-short-exposure frames (1-10 ms), compute some quantity like the power spectrum or bispectrum for each frame, and average this quantity over all the frames. These averaged quantities can be used to reconstruct the image. However, when the object being imaged is very dim, or the exposure time for a single frame is very short, the computed bispectrum with exhibit a photon noise component due to the Poisson statistical nature of the photon detection process. The photon noise contribution has been derived, taking into account that some pixels are brighter than others when the camera is exposed to uniform illumination
  • Keywords
    picture processing; random noise; speckle; two-dimensional spectra; 1 to 10 ms; Poisson statistical nature; atmospheric turbulence; computed bispectra; photon detection process; photon noise bias; photon noise component; shot noise-removal; speckle imaging; two-dimensional power spectra; uniform illumination; very-short-exposure frames; Astrophysics; Cameras; Degradation; Detectors; Image reconstruction; Laboratories; Noise level; Object detection; Optical computing; Speckle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multidimensional Signal Processing Workshop, 1989., Sixth
  • Conference_Location
    Pacific Grove, CA
  • Type

    conf

  • DOI
    10.1109/MDSP.1989.97100
  • Filename
    97100