Superresolved image reconstruction of images taken through the turbulent atmosphere

D. R. Gerwe, Martin A Plonus

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


Superresolved image reconstruction is demonstrated by use of multiple images taken through atmospheric turbulence under photon-limited conditions. An iterative reconstruction algorithm applies estimate-maximize techniques to a series of short-exposure images of the desired object scene along with the corresponding image sequence of a guide star. Simulations show that estimates of the Fourier components both below and above the diffraction limit are improved at successive iterations. The estimated images give finer detail of the original object than does the diffraction-limited image. Effects of photon-noise levels on restoration performance are investigated, and a modification to the reconstruction algorithm is derived that accounts for the effects of CCD read noise.

Original languageEnglish (US)
Pages (from-to)2620-2628
Number of pages9
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Issue number10
StatePublished - Jan 1 1998

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Computer Vision and Pattern Recognition

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