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Proceedings Paper

A computational hyperspectral imaging technique
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Paper Abstract

A novel spectral imaging technique is introduced based on a highly dispersive imaging lens system. The chromatic aberration of the lens system is utilized to spread the spectral content of the object over a focal distance. Two three-dimensional surface reconstruction algorithms, depth from focus and depth from defocus, are applied to images captured by dispersive lens system. Using these algorithms, the spectral imager is able to relate either the location of focused image or the amount of defocus at the imaging detector to the spectral content of the object. A spectral imager with ~5 nm spectral resolution is designed based on this technique. The spectral and spatial resolutions of the introduced technique are independent and can be improved simultaneously. Simulation and experimental results are presented.

Paper Details

Date Published: 9 March 2016
PDF: 6 pages
Proc. SPIE 9713, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIII, 97131T (9 March 2016); doi: 10.1117/12.2213011
Show Author Affiliations
Nasim Habibi, Univ. of North Carolina at Charlotte (United States)
Mohammad Azari, Univ. of North Carolina at Charlotte (United States)
Mehrdad Abolbashari, Optoniks Corp. (United States)
Faramarz Farahi, Univ. of North Carolina at Charlotte (United States)


Published in SPIE Proceedings Vol. 9713:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIII
Thomas G. Brown; Carol J. Cogswell; Tony Wilson, Editor(s)

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