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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 48, Iss. 28 — Oct. 1, 2009
  • pp: 5212–5224

Off-axis sparse aperture imaging using phase optimization techniques for application in wide-area imaging systems

Abhijit Mahalanobis, Mark Neifeld, Vijaya Kumar Bhagavatula, Thomas Haberfelde, and David Brady  »View Author Affiliations


Applied Optics, Vol. 48, Issue 28, pp. 5212-5224 (2009)
http://dx.doi.org/10.1364/AO.48.005212


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Abstract

Sparse apertures find imaging applications in diverse fields such as astronomy and medicine. We are motivated by the design of a wide-area imaging system where sparse apertures can be used to construct novel and efficient optical designs. Specifically, we investigate the use of sparse apertures for off-axis imaging at infrared wavelengths while combating the effects of chromaticity to preserve resolution. In principle, several such sparse apertures can be interleaved within a common aperture to simultaneously image in multiple directions. This can ultimately lead to the design of wide-area imaging systems that require considerably less optical and electronic hardware. The resolution achievable using a sparse aperture is the same as that of a fully open aperture. In the case of off-axis imaging, however, the point spread function (PSF) introduces a blur due to chromaticity that degrades the resolution of the system. Of course, the blur can be eliminated by imaging at a single wavelength. However the signal-to-noise ratio (SNR) is poor, which ultimately degrades image quality. To improve SNR, it is necessary to widen the band of wavelengths, which of course degrades resolution due to chromaticity. Hence there is a fundamental trade between the SNR and the resolution as a function of bandwidth. We show that by using a combination of microprisms and phase optimized micropistons it is possible to reduce the chromatic blur over a band of wavelengths and improve the PSF considerably to restore the resolution of the image. The concepts are validated by means of simulations and verified with experimental data to demonstrate the advantages of phase optimized micropistons in off-axis sparse aperture imaging systems.

© 2009 Optical Society of America

OCIS Codes
(110.4100) Imaging systems : Modulation transfer function
(110.1758) Imaging systems : Computational imaging

ToC Category:
Imaging Systems

History
Original Manuscript: March 16, 2009
Revised Manuscript: August 11, 2009
Manuscript Accepted: August 21, 2009
Published: September 21, 2009

Citation
Abhijit Mahalanobis, Mark Neifeld, Vijaya Kumar Bhagavatula, Thomas Haberfelde, and David Brady, "Off-axis sparse aperture imaging using phase optimization techniques for application in wide-area imaging systems," Appl. Opt. 48, 5212-5224 (2009)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-48-28-5212


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References

  1. M. Dana, “Establishment of air defense sensor requirements for automatic aircraft tracking,” in AGARD Strategies for Automatic Track Initiation (1979), pp. 21-32.
  2. M. D. Stenner, P. Shankar, and M. A. Neifeld, “Wide-field feature-specific imaging,” in Frontiers in Optics (Optical Society of America, 2007), paper FMJ2.
  3. D. L. Marks, R. A. Stack, and D. J. Brady, “Astigmatic coherence sensor for digital imaging,” Opt. Lett. 25, 1726-1728 (2000). [CrossRef]
  4. D. Marks, R. Stack, D. Brady, D. Munson, and R. Brady, “Visible cone-beam tomography with a lensless camera,” Science 284, 2164-6166 (1999). [CrossRef] [PubMed]
  5. S. Basty, M. A. Neifeld, D. Brady, and S. Kraut, “Nonlinear estimation for interferometric imaging,” Opt. Commun. 228, 249-261 (2003). [CrossRef]
  6. M. E. Gehm, S. T. McCain, N. P. Pitsianis, D. J. Brady, P. Potuluri, and M. E. Sullivan, “Static two-dimensional aperture coding for multimodal multiplex spectroscopy,” Appl. Opt. 45, 2965-2974 (2006). [CrossRef] [PubMed]
  7. M. P. Christensen, G. W. Euliss, M. J. McFadden, K. M. Coyle, P. Milojkovic, M. W. Haney, J. van der Gracht, and R. A. Athale, “Active-eyes: an adaptive pixel-by-pixel image-segmentation sensor architecture for high-dynamic-range hyperspectral imaging,” Appl. Opt. 41, 6093-6103 (2002). [CrossRef] [PubMed]
  8. C.-Y. Chen, T.-T. Yang, and Wen--Shing Sun, “Optics system design applying a microprism array of a single lens stereo image pair,” Opt. Express 1615495-15505 (2008). [CrossRef] [PubMed]
  9. S. Shikhar, N. A. Goodman, M. A. Neifeld, C. Kim, J. Kim, and D. J.Brady, “Optically multiplexed imaging with superposition space tracking,” Proc. SPIE 7096709607 (2008).
  10. R. Muise and A. Mahalanobis, “Computational sensing algorithms for image reconstruction and the detection of moving objects in multiplexed imaging systems,” Proc. SPIE 6977, 69770M (2008). [CrossRef]
  11. E. R. Dowski, Jr., and W. T. Cathey, “Extended depth of field through wave-front coding,” Appl. Opt. 34, 1859-1861(1995). [CrossRef] [PubMed]
  12. W. T. Cathey and E. R. Dowski, “New paradigm for imaging systems,” Appl. Opt. 41, 6080-6092 (2002). [CrossRef] [PubMed]
  13. H. B. Wach, E. R. Dowski, Jr., and W. T. Cathey, “Control of chromatic focal shift through wave-front coding,” Appl. Opt. 37, 5359-5367 (1998). [CrossRef]
  14. E. R. Dowski, Jr., and G. E. Johnson, “Wavefront coding: a modern method of achieving high performance and/or low cost imaging systems,” Proc. SPIE 3779, 137-145 (1999). [CrossRef]
  15. D. Stork and D. Robinson, “Joint digital-optical design of multi-frame imaging systems,” in Computational Sensing and Imaging (Optical Society of America, 2007).
  16. S. Prasad, T. Torgersen, V. P. Pauca, R. Plemmons, and J. van der Gracht, “Engineering the pupil phase to improve image quality,” Proc. SPIE 5108, 1-12 (2003). [CrossRef]
  17. A. Ashok and M. A. Neifeld, “Pseudorandom phase masks for superresolution imaging from subpixel shifting,” Appl. Opt. 46, 2256-2268 (2007). [CrossRef] [PubMed]
  18. R. J. Plemmons, M. Horvath, E. Leonhardt, V. P. Pauca, S. Prasad, S. B. Robinson, H. Setty, T. C. Torgersen, J. van der Gracht, E. Dowski, R. Narayanswamy, and P. E. X. Silveira, “Computational imaging systems for iris recognition,” Proc. SPIE 5559, 346-357 (2004). [CrossRef]
  19. S. H. Goodwin-Johansson, M. R. Davidson, D. E. Dausch, P. H. Holloway, and G. McGuire, “Reduced voltage artificial eyelid for protection of optical sensors,” Proc. SPIE 4695, 451-458 (2002). [CrossRef]
  20. H. C. Andrews and B. R. Hunt, Digital Image Restoration (Prentice-Hall, 1977).

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