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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 18, Iss. 22 — Oct. 25, 2010
  • pp: 23041–23053

Multi-channel data acquisition using multiplexed imaging with spatial encoding

Ryoichi Horisaki and Jun Tanida  »View Author Affiliations

Optics Express, Vol. 18, Issue 22, pp. 23041-23053 (2010)

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This paper describes a generalized theoretical framework for a multiplexed spatially encoded imaging system to acquire multi-channel data. The framework is confirmed with simulations and experimental demonstrations. In the system, each channel associated with the object is spatially encoded, and the resultant signals are multiplexed onto a detector array. In the demultiplexing process, a numerical estimation algorithm with a sparsity constraint is used to solve the underdetermined reconstruction problem. The system can acquire object data in which the number of elements is larger than that of the captured data. This case includes multi-channel data acquisition by a single-shot with a detector array. In the experiments, wide field-of-view imaging and spectral imaging were demonstrated with sparse objects. A compressive sensing algorithm, called the two-step iterative shrinkage/thresholding algorithm with total variation, was adapted for object reconstruction.

© 2010 Optical Society of America

OCIS Codes
(110.1758) Imaging systems : Computational imaging
(110.3010) Imaging systems : Image reconstruction techniques

ToC Category:
Imaging Systems

Original Manuscript: July 27, 2010
Revised Manuscript: October 12, 2010
Manuscript Accepted: October 14, 2010
Published: October 18, 2010

Ryoichi Horisaki and Jun Tanida, "Multi-channel data acquisition using multiplexed imaging with spatial encoding," Opt. Express 18, 23041-23053 (2010)

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