• DocumentCode
    2599918
  • Title

    Multiframe Poisson map deconvolution of astronomical images

  • Author

    Hunt, Bobby R. ; Sheppard, David G. ; Nadar, Mariappan S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
  • Volume
    3
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    109
  • Abstract
    Two multiframe formulations of Hunt´s Poisson maximum a posteriori (MAP) image restoration algorithm (Hunt and Sementilli, 1992; and Hunt 1995) are presented as a means to restore an astronomical object from multiple short-exposure images. This work anticipates accurate wavefront sensor estimates of the optical transfer function of the atmosphere and telescope combination. Theoretical discussion of the algorithms is presented with simulation results. These results indicate that the multiframe algorithms produce significantly better restorations than single frame algorithms. Additionally, our studies demonstrate that the multiframe algorithms presented accomplish super-resolution
  • Keywords
    astronomical techniques; deconvolution; image resolution; image restoration; maximum likelihood estimation; optical transfer function; MAP; Poisson maximum a posteriori image restoration algorithm; astronomical images; atmosphere; multiframe Poisson map deconvolution; multiframe formulations; multiple short-exposure images; optical transfer function; super-resolution; telescope; wavefront sensor estimates; Adaptive optics; Atmosphere; Atmospheric modeling; Cutoff frequency; Deconvolution; Image restoration; Optical distortion; Optical sensors; Telescopes; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1996. Proceedings., International Conference on
  • Conference_Location
    Lausanne
  • Print_ISBN
    0-7803-3259-8
  • Type

    conf

  • DOI
    10.1109/ICIP.1996.560381
  • Filename
    560381