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Proceedings Paper

Super-resolving volume holographic profilometry
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Paper Abstract

We address the use of transmission geometry volume holograms as depth-selective imaging elements in profilometry. We derive the point-spread function (PSF) of the volume holographic imaging system using volume diffraction theory and use the PSF to estimate depth resolution. Experimentally measured PSF and depth-selective images are presented to verify the theoretical predictions. Furthermore, we show that with prior knowledge of the object, depth resolution can be improved greatly with the method of inclined illumination. In more general cases, super resolution can also be achieved with digital post-processing methods such as Viterbi algorithm (VA). We show that computational complexity can be reduced with surface constraints. Resolution improvement by a factor of 5 was obtained in experimental demonstration.

Paper Details

Date Published: 22 October 2004
PDF: 15 pages
Proc. SPIE 5557, Optical Information Systems II, (22 October 2004); doi: 10.1117/12.563886
Show Author Affiliations
Wenyang Sun, Massachusetts Institute of Technology (United States)
Arnab Sinha, Massachusetts Institute of Technology (United States)
George Barbastathis, Massachusetts Institute of Technology (United States)


Published in SPIE Proceedings Vol. 5557:
Optical Information Systems II
Bahram Javidi; Demetri Psaltis, Editor(s)

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