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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Editor: Stephen A. Burns
  • Vol. 25, Iss. 9 — Sep. 1, 2008
  • pp: 2170–2176

Multichannel blind deconvolution of polarimetric imagery

Daniel A. LeMaster and Stephen C. Cain  »View Author Affiliations

JOSA A, Vol. 25, Issue 9, pp. 2170-2176 (2008)

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A maximum likelihood blind deconvolution algorithm is derived for incoherent polarimetric imagery using expectation maximization. In this approach, the unpolarized and fully polarized components of the scene are estimated along with the corresponding angles of polarization and channel point spread functions. The scene state of linear polarization is determined unambiguously using this parameterization. Results are demonstrated using laboratory data.

© 2008 Optical Society of America

OCIS Codes
(100.1455) Image processing : Blind deconvolution
(110.5405) Imaging systems : Polarimetric imaging

ToC Category:
Imaging Systems

Original Manuscript: May 7, 2008
Manuscript Accepted: June 19, 2008
Published: August 6, 2008

Daniel A. LeMaster and Stephen C. Cain, "Multichannel blind deconvolution of polarimetric imagery," J. Opt. Soc. Am. A 25, 2170-2176 (2008)

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