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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: James C. Wyant
  • Vol. 47, Iss. 10 — Apr. 1, 2008
  • pp: B117–B127

Adaptive framework for robust high-resolution image reconstruction in multiplexed computational imaging architectures

Noha A. El-Yamany, Panos E. Papamichalis, and Marc P. Christensen  »View Author Affiliations


Applied Optics, Vol. 47, Issue 10, pp. B117-B127 (2008)
http://dx.doi.org/10.1364/AO.47.00B117


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Abstract

In multiplexed computational imaging schemes, high-resolution images are reconstructed by fusing the information in multiple low-resolution images detected by a two-dimensional array of low-resolution image sensors. The reconstruction procedure assumes a mathematical model for the imaging process that could have generated the low-resolution observations from an unknown high-resolution image. In practical settings, the parameters of the mathematical imaging model are known only approximately and are typically estimated before the reconstruction procedure takes place. Violations to the assumed model, such as inaccurate knowledge of the field of view of the imagers, erroneous estimation of the model parameters, and/or accidental scene or environmental changes can be detrimental to the reconstruction quality, even if they are small in number. We present an adaptive algorithm for robust reconstruction of high-resolution images in multiplexed computational imaging architectures. Using robust M-estimators and incorporating a similarity measure, the proposed scheme adopts an adaptive estimation strategy that effectively deals with violations to the assumed imaging model. Comparisons with nonadaptive reconstruction techniques demonstrate the superior performance of the proposed algorithm in terms of reconstruction quality and robustness.

© 2008 Optical Society of America

OCIS Codes
(110.1758) Imaging systems : Computational imaging

ToC Category:
Imaging Systems

History
Original Manuscript: September 11, 2007
Revised Manuscript: January 23, 2008
Manuscript Accepted: February 25, 2008
Published: April 1, 2008

Citation
Noha A. El-Yamany, Panos E. Papamichalis, and Marc P. Christensen, "Adaptive framework for robust high-resolution image reconstruction in multiplexed computational imaging architectures," Appl. Opt. 47, B117-B127 (2008)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-47-10-B117

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