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- W2023170019 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." @default.
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- W2023170019 date "2004-10-22" @default.
- W2023170019 modified "2023-10-14" @default.
- W2023170019 title "Super-resolving volume holographic profilometry" @default.
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- W2023170019 doi "https://doi.org/10.1117/12.563886" @default.
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