Iterative multiframe super-resolution algorithms for atmospheric turbulence-degraded imagery

David G. Sheppard, Bobby R. Hunt, Michael W Marcellin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Algorithms for image recovery with super-resolution from sequences of short-exposure images are presented in this paper. Both deconvolution from wavefront sensing (DWFS) and blind deconvolution are explored. A multiframe algorithm is presented for DWFS which is based on maximum a posteriori (MAP) formulation. A multiframe blind deconvolution algorithm is presented based on a maximum likelihood formulation with strict constraints incorporated using nonlinear reparameterizations. Quantitative simulation of imaging through atmospheric turbulence and wavefront sensing are used to demonstrate the super-resolution performance of the algorithms.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherIEEE
Pages2857-2860
Number of pages4
Volume5
StatePublished - 1998
EventProceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. Part 1 (of 6) - Seattler, WA, USA
Duration: May 12 1998May 15 1998

Other

OtherProceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. Part 1 (of 6)
CitySeattler, WA, USA
Period5/12/985/15/98

Fingerprint

Atmospheric turbulence
atmospheric turbulence
Deconvolution
imagery
Wavefronts
formulations
Maximum likelihood
recovery
Imaging techniques
Recovery
simulation

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics
  • Software

Cite this

Sheppard, D. G., Hunt, B. R., & Marcellin, M. W. (1998). Iterative multiframe super-resolution algorithms for atmospheric turbulence-degraded imagery. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 5, pp. 2857-2860). IEEE.

Iterative multiframe super-resolution algorithms for atmospheric turbulence-degraded imagery. / Sheppard, David G.; Hunt, Bobby R.; Marcellin, Michael W.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 5 IEEE, 1998. p. 2857-2860.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Sheppard, DG, Hunt, BR & Marcellin, MW 1998, Iterative multiframe super-resolution algorithms for atmospheric turbulence-degraded imagery. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. vol. 5, IEEE, pp. 2857-2860, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. Part 1 (of 6), Seattler, WA, USA, 5/12/98.
Sheppard DG, Hunt BR, Marcellin MW. Iterative multiframe super-resolution algorithms for atmospheric turbulence-degraded imagery. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 5. IEEE. 1998. p. 2857-2860
Sheppard, David G. ; Hunt, Bobby R. ; Marcellin, Michael W. / Iterative multiframe super-resolution algorithms for atmospheric turbulence-degraded imagery. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 5 IEEE, 1998. pp. 2857-2860
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