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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 20, Iss. 20 — Sep. 24, 2012
  • pp: 22102–22117

Object reconstruction in block-based compressive imaging

Jun Ke and Edmund Y. Lam  »View Author Affiliations

Optics Express, Vol. 20, Issue 20, pp. 22102-22117 (2012)

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A block-based compressive imaging (BCI) system using sequential architecture is presented in this paper. Feature measurements are collected using the principal component analysis (PCA) projection. The linear Wiener operator and a nonlinear method based on the Field-of-Expert (FoE) prior model are used for object reconstruction. Experimental results are given to demonstrate the superior reconstruction performance of the FoE-based method over the Wiener operator. In addition, the effects of system parameters, such as the object block size, the number of features per block, and the noise level to the BCI reconstruction performance are discussed with different kinds of objects. Then an optimal block size is defined and studied for BCI.

© 2012 OSA

OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(110.2990) Imaging systems : Image formation theory
(110.1758) Imaging systems : Computational imaging

ToC Category:
Image Processing

Original Manuscript: July 2, 2012
Revised Manuscript: September 5, 2012
Manuscript Accepted: September 6, 2012
Published: September 12, 2012

Jun Ke and Edmund Y. Lam, "Object reconstruction in block-based compressive imaging," Opt. Express 20, 22102-22117 (2012)

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