Mr. Vladimir Farber Profile

Vladimir Farber

at Ben-Gurion Univ of the Negev

SPIE Involvement:

Author

Publications (5)

Proceedings Article | 16 May 2018 Presentation + Paper

3D reconstructions from spectral light fields

Vladimir Farber, Yaniv Oiknine, Isaac August, Adrian Stern

Proceedings Volume 10666, 106660W (2018) https://doi.org/10.1117/12.2306139

KEYWORDS: Imaging systems, Integral imaging, Hyperspectral imaging

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SPIE Journal Paper | 5 March 2018

Spectral light fields for improved three-dimensional profilometry

Vladimir Farber, Yaniv Oiknine, Isaac August, Adrian Stern

OE, Vol. 57, Issue 06, 061609, (March 2018) https://doi.org/10.1117/12.10.1117/1.OE.57.6.061609

KEYWORDS: Cameras, Imaging systems, Integral imaging, Reconstruction algorithms, Two photon polymerization, Optical engineering, Imaging arrays, Hyperspectral imaging, 3D image processing, Light

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Proceedings Article | 5 June 2014 Paper

Digital speckle reduction in holograms: a comparison between methods

Adrian Stern, Vladimir Farber, Amitai Uzan, Yair Rivenson

Proceedings Volume 9117, 91170C (2014) https://doi.org/10.1117/12.2049829

KEYWORDS: Image filtering, Digital filtering, Speckle, Digital holography, Holograms, Optical filters, Linear filtering, Denoising, Wavelets, Nonlinear filtering

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Proceedings Article | 23 May 2014 Paper

Digital speckle reduction in holograms: a comparison between methods

Adrian Stern, Vladimir Farber, Amitai Uzan, Yair Rivenson

Proceedings Volume 9109, 91090E (2014) https://doi.org/10.1117/12.2049826

KEYWORDS: Image filtering, Digital filtering, Speckle, Digital holography, Holograms, Optical filters, Wavelets, Linear filtering, Denoising, Nonlinear filtering

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Proceedings Article | 29 May 2013 Paper

A study of the coherence parameter of the progressive compressive imager based on radon transform

Vladimir Farber, Elman Eduard, Yair Rivenson, Adrian Stern

Proceedings Volume 8750, 87500L (2013) https://doi.org/10.1117/12.2018005

KEYWORDS: Radon, Sensors, Imaging systems, Image sensors, Image compression, Matrices, Coherence (optics), Radon transform, Compressed sensing, Compressive imaging

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