Super-resolution of imagery acquired through turbulent atmosphere

David Sheppard, B. R. Hunt, Michael W. Marcellin

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

The resolution of images is determined by the processes of diffraction. Recently, practical algorithms have emerged that are capable of recovering spatial frequency detail that lies beyond the diffraction limit of an image sensor. In this presentation we shall briefly review some of the aspects of super-resolution algorithms and then discuss the extension of same to images obtained through turbulent atmosphere. We will present a multiframe super-resolution algorithm that achieves reconstruction of diffraction-limited detail by using multiple speckle image frames and wavefront sensor data on the instantaneous point-spread-function. Examples of simulations of the algorithm will be given, along with a discussion of how the algorithm can be integrated with existing blind deconvolution algorithms to relax the requirements for wavefront sensing.

Original languageEnglish (US)
Pages (from-to)81-85
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume1
StatePublished - Jan 1 1997
EventProceedings of the 1996 30th Asilomar Conference on Signals, Systems & Computers. Part 2 (of 2) - Pacific Grove, CA, USA
Duration: Nov 3 1996Nov 6 1996

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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