OSA's Digital Library

Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • 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)
http://dx.doi.org/10.1364/JOSAA.25.002170


View Full Text Article

Enhanced HTML    Acrobat PDF (186 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

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

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

Citation
Daniel A. LeMaster and Stephen C. Cain, "Multichannel blind deconvolution of polarimetric imagery," J. Opt. Soc. Am. A 25, 2170-2176 (2008)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-25-9-2170


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. J. S. Tyo, M. P. Rowe, E. N. Pugh, Jr., and N. Engheta, “Target detection in optically scattering media by polarization-difference imaging,” Appl. Opt. 35, 1855-1870 (1996). [CrossRef] [PubMed]
  2. M. Kishimoto, L. E. Kay, R. Antonucci, T. W. Hurt, R. D. Cohen, and J. H. Krolik, “Ultraviolet imaging polarimetry of the Seyfert 2 galaxy Markarian 3,” Astrophys. J., Suppl. 565, 155-162 (2002).
  3. W. G. Egan, “Polarization in remote sensing,” Proc. SPIE 1747, 2-48 (1992). [CrossRef]
  4. S. Lin, K. Yemelyanov, E. Pugh, Jr., and N. Engheta, “Separation and contrast enhancement of overlapping cast shadow components using polarization,” Opt. Express 14, 7099-7108 (2006). [CrossRef] [PubMed]
  5. W. Victor and K. Coulson, “Remote sensing in polarized light,” in NASA Conference Publication 3014 (NASA, 1987).
  6. E. Collett, Polarized Light: Fundamentals and Applications (Marcel Dekker, 1992).
  7. W. Egan, Photometry and Polarization in Remote Sensing (Elsevier, 1985).
  8. W. A. Shurcliff, Polarized Light: Production and Use (Harvard U. Press, 1962).
  9. D. Kundur and D. Hatzinakos, “Blind image deconvolution,” IEEE Signal Process. Mag. 13, 43-64 (1996). [CrossRef]
  10. D. Kundur and D. Hatzinakos, “Blind image deconvolution revisited,” IEEE Signal Process. Mag. 13, 61-63 (1996). [CrossRef]
  11. T. Schulz, “Multiframe blind deconvolution of astronomical images,” J. Opt. Soc. Am. A 10, 1064-1073 (1993). [CrossRef]
  12. T. Schulz, B. Stribling, and J. Miller, “Multiframe blind deconvolution with real data: imagery of the Hubble Space Telescope,” Opt. Express 1, 355-362 (1997). [CrossRef] [PubMed]
  13. J. Zallat and C. Heinrich, “Polarimetric data reduction: a Bayesian approach,” Opt. Express 15, 83-96 (2007). [CrossRef] [PubMed]
  14. D. M. Strong, “Polarimeter blind deconvolution using image diversity,” Ph.D. dissertation (Air Force Institute of Technology, 2007).
  15. N. R. D. Dempster and A. P. Laird, “Maximum likelihood from incomplete data via the EM algorithm,” J. R. Stat. Soc. Ser. B (Methodol.) 39, 1-37 (1977).
  16. T. Moon, “The expectation-maximization algorithm,” IEEE Signal Process. Mag. 13, 47-60 (1996). [CrossRef]
  17. M. Born and E. Wolf, Principles of Optics: Electromagnetic Theory of Propagation, Interference and Diffraction of Light (Cambridge U. Press, 2000). [PubMed]
  18. E. Wolf, “Can a light beam be considered to be the sum of a completely polarized and a completely unpolarized beam?” Opt. Lett. 33, 642-644 (2008). [CrossRef] [PubMed]
  19. L. Shepp and Y. Vardi, “Maximum likelihood reconstruction for emission tomography,” IEEE Trans. Med. Imaging 1, 113-122 (1982). [CrossRef] [PubMed]
  20. R. Gerchberg and W. Saxton, “A practical algorithm for the determination of phase from image and diffraction plane pictures,” Optik (Jena) 35, 237-246 (1972).

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.

Figures

Fig. 1 Fig. 2 Fig. 3
 
Fig. 4 Fig. 5
 

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited