|
|
Stokes image reconstruction for two-color microgrid polarization imaging systems |
Optics Express, Vol. 19, Issue 15, pp. 14604-14616 (2011)
http://dx.doi.org/10.1364/OE.19.014604
Enhanced HTML
Acrobat PDF (1136 KB)
Abstract
The Air Force Research Laboratory has developed a new microgrid polarization imaging system capable of simultaneously reconstructing linear Stokes parameter images in two colors on a single focal plane array. In this paper, an effective method for extracting Stokes images is presented for this type of camera system. It is also shown that correlations between the color bands can be exploited to significantly increase overall spatial resolution. Test data is used to show the advantages of this approach over bilinear interpolation. The bounds (in terms of available reconstruction bandwidth) on image resolution are also provided.
© 2011 OSA
OCIS Codes
(100.2000) Image processing : Digital image processing
(110.5405) Imaging systems : Polarimetric imaging
ToC Category:
Imaging Systems
History
Original Manuscript: May 13, 2011
Revised Manuscript: June 27, 2011
Manuscript Accepted: June 29, 2011
Published: July 14, 2011
Citation
Daniel A. LeMaster, "Stokes image reconstruction for two-color microgrid polarization imaging systems," Opt. Express 19, 14604-14616 (2011)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-19-15-14604
Sort: Year | Journal | Reset
References
- J. S. Tyo, D. L. Goldstein, D. B. Chenault, and J. A. Shaw, “Review of passive imaging polarimetry for remote sensing applications,” Appl. Opt. 45, 5453–5469 (2006). [CrossRef] [PubMed]
- J. Schott, Fundamentals of polarimetric remote sensing (SPIE Press, 2009). [CrossRef]
- D. LeMaster, R. Mack, D. Forrai, J. Harris, B. Ratliff, and J. Middendorf, “A snapshot two-color MWIR polarimetric imaging system,” in “Proceedings of the Military Sensing Symposium (MSS) Specialty Group on Passive Sensors,” (2011).
- J. S. Tyo, C. F. LaCasse, and B. M. Ratliff, “Total elimination of sampling errors in polarization imagery obtained with integrated microgrid polarimeters,” Opt. Lett. 34, 3187–3189 (2009). [CrossRef] [PubMed]
- B. M. Ratliff, C. F. LaCasse, and J. S. Tyo, “Interpolation strategies for reducing IFOV artifacts in microgrid polarimeter imagery,” Opt. Express 17, 9112–9125 (2009). [CrossRef] [PubMed]
- A. V. Oppenheim, A. S. Willsky, and S. H. Nawab, Signals and Systems (Prentice Hall, 1997).
- D. LeMaster, “Image reconstruction for two-color microgrid polarimetric imagers,” in “Aerospace conference, 2011 IEEE,” (2011), pp. 1 –7.
- J. Tyo, E. Pugh Jr, and N. Engheta, “Colorimetric representations for use with polarization-difference imaging of objects in scattering media,” JOSA A 15, 367–374 (1998). [CrossRef]
- D. Alleysson, S. Susstrunk, and J. Herault, “Linear demosaicing inspired by the human visual system,” IEEE Trans. Image Processing 14, 439 –449 (2005). [CrossRef]
- S. T. Thurman and J. R. Fienup, “Wiener reconstruction of undersampled imagery,” J. Opt. Soc. Am. A 26, 283–288 (2009). [CrossRef]
- E. Dubois, “Frequency-domain methods for demosaicking of bayer-sampled color images,” IEEE Signal Processing Lett. 12, 847 – 850 (2005). [CrossRef]
Cited By |
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.





OSA is a member of 