Bayesian reconstruction in optical scanning holography

Xianglin Li; Jun Ke; Xin Zhang; Edmund Y. Lam

Bayesian reconstruction in optical scanning holography

Xianglin Li^*, Jun Ke, Xin Zhang, Edmund Y. Lam

^*Corresponding author for this work

The University of Hong Kong

Research output: Contribution to journal › Conference article › peer-review

Abstract

Optical Scanning Holography (OSH) is a technique that scans 3D objects onto a 2D hologram. Here, we analyze the OSH object reconstruction process from a Bayesian perspective and provide an appropriate solution.

Original language	English
Journal	Optics InfoBase Conference Papers
Publication status	Published - 2010
Externally published	Yes
Event	Frontiers in Optics, FiO 2010 - Rochester, NY, United States Duration: 24 Oct 2010 → 28 Oct 2010

Cite this

Li, X., Ke, J., Zhang, X., & Lam, E. Y. (2010). Bayesian reconstruction in optical scanning holography. Optics InfoBase Conference Papers.

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title = "Bayesian reconstruction in optical scanning holography",

abstract = "Optical Scanning Holography (OSH) is a technique that scans 3D objects onto a 2D hologram. Here, we analyze the OSH object reconstruction process from a Bayesian perspective and provide an appropriate solution.",

author = "Xianglin Li and Jun Ke and Xin Zhang and Lam, {Edmund Y.}",

year = "2010",

language = "English",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

note = "Frontiers in Optics, FiO 2010 ; Conference date: 24-10-2010 Through 28-10-2010",

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TY - JOUR

T1 - Bayesian reconstruction in optical scanning holography

AU - Li, Xianglin

AU - Ke, Jun

AU - Zhang, Xin

AU - Lam, Edmund Y.

PY - 2010

Y1 - 2010

N2 - Optical Scanning Holography (OSH) is a technique that scans 3D objects onto a 2D hologram. Here, we analyze the OSH object reconstruction process from a Bayesian perspective and provide an appropriate solution.

AB - Optical Scanning Holography (OSH) is a technique that scans 3D objects onto a 2D hologram. Here, we analyze the OSH object reconstruction process from a Bayesian perspective and provide an appropriate solution.

UR - http://www.scopus.com/inward/record.url?scp=84897676569&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84897676569

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

T2 - Frontiers in Optics, FiO 2010

Y2 - 24 October 2010 through 28 October 2010

ER -

Bayesian reconstruction in optical scanning holography

Abstract

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