• DocumentCode
    304560
  • Title

    Reconstruction and super-resolution of dilute aperture imagery

  • Author

    Miller, C. ; Hunt, B.R. ; Kendrick, R.L. ; Duncan, A.L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA
  • Volume
    1
  • fYear
    1996
  • fDate
    16-19 Sep 1996
  • Firstpage
    697
  • Abstract
    Improving the resolving power of diffraction-limited imaging devices has most often been accomplished with costly increases in the size of the imaging aperture. To minimize cost and construction difficulty yet still improve image resolution we use a dilute aperture imaging system followed by post-processing with the Poisson maximum a-posteriori (PMAP) algorithm to achieve image reconstruction and super-resolution. We give a description of the algorithm as well as show an example of its performance on images taken with a dilute aperture optical system
  • Keywords
    image reconstruction; image resolution; maximum likelihood estimation; optical transfer function; stochastic processes; Poisson maximum a-posteriori algorithm; algorithm; diffraction limited imaging devices; dilute aperture imaging system; dilute aperture optical system; image reconstruction; image resolution; imaging aperture size; optical transfer function; performance; postprocessing; superresolution; Apertures; Convolution; Costs; Diffraction; Equations; Image reconstruction; Image resolution; Image restoration; Optical imaging; Power engineering computing;
  • 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.1996.559594
  • Filename
    559594