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
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)