• DocumentCode
    1594328
  • Title

    Super-resolution in a synthetic aperture imaging system

  • Author

    Green, J.J. ; Hunt, B.R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
  • Volume
    1
  • fYear
    1997
  • Firstpage
    865
  • Abstract
    Large telescopes have reached a limit of practical realization, restricted by the high costs of manufacturing large and precise optics. To overcome these limitations, images can be collected from a strip aperture which rotates to synthesize a circular one. Variations of a Poisson maximum a priori (PMAP) algorithm are applied to the collection of frames to reconstruct and super-resolve the image set producing an estimate of the original object. We provide a brief discussion of the algorithms along with examples of their performance in a simulated imaging environment, with two different algorithm formulations
  • Keywords
    Poisson distribution; image reconstruction; image resolution; image restoration; maximum likelihood estimation; optical images; telescopes; PMAP algorithm; Poisson maximum a priori algorithm; image reconstruction; image restoration; strip aperture rotation; super-resolution; synthetic aperture imaging; telescopes; Aggregates; Apertures; Costs; Diffraction; Image reconstruction; Image resolution; Image sequences; Optical imaging; Strips; Telescopes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1997. Proceedings., International Conference on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-8183-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1997.648103
  • Filename
    648103