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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Editor: Franco Gori
  • Vol. 30, Iss. 6 — Jun. 1, 2013
  • pp: 1193–1204

Design of an image restoration algorithm for the TOMBO imaging system

Shachar Mendelowitz, Iftach Klapp, and David Mendlovic  »View Author Affiliations


JOSA A, Vol. 30, Issue 6, pp. 1193-1204 (2013)
http://dx.doi.org/10.1364/JOSAA.30.001193


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Abstract

The TOMBO system (thin observation module by bound optics) is a multichannel subimaging system over a single electronic imaging device. Each subsystem provides a low-resolution (LR) image from a unique lateral point of view. By estimating the image’s lateral position, a high-resolution (HR) image is restored from the series of the LR images. This paper proposes an multistage algorithm comprised of successive stages, improving difficulties in previous suggested schemes. First, the registration algorithm estimates the subchannel shift parameters and eliminates bias. Second, we introduce a fast image fusion, overcoming visual blockiness artifacts that characterized previously suggested schemes. The algorithm fuses the set of sampled subchannel images into a single image, providing the reconstruction initial estimate. Third, an edge-sensitive quadratic upper bound term to the total variation regulator is suggested. The complete algorithm allows the reconstruction of a clean, HR image, in linear computation time, by the use of the linear conjugate gradient optimization. Finally, we present a simulated comparison between the proposed method and a previously suggested image restoration method. The results show that the proposed method yields better reconstruction fidelity while eliminating spatial speckle artifacts associated with the previously suggested method.

© 2013 Optical Society of America

OCIS Codes
(100.3190) Image processing : Inverse problems
(100.6640) Image processing : Superresolution
(110.1758) Imaging systems : Computational imaging
(110.3010) Imaging systems : Image reconstruction techniques

ToC Category:
Imaging Systems

History
Original Manuscript: November 7, 2012
Revised Manuscript: February 15, 2013
Manuscript Accepted: April 7, 2013
Published: May 23, 2013

Virtual Issues
Vol. 8, Iss. 7 Virtual Journal for Biomedical Optics

Citation
Shachar Mendelowitz, Iftach Klapp, and David Mendlovic, "Design of an image restoration algorithm for the TOMBO imaging system," J. Opt. Soc. Am. A 30, 1193-1204 (2013)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-30-6-1193

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