Maximum-likelihood surface reconstruction with viterbi algorithm for volume holographic profilometry

Wenyang Sun; George Barbastathis; Mark A. Neifeld

Maximum-likelihood surface reconstruction with viterbi algorithm for volume holographic profilometry

Wenyang Sun, George Barbastathis, Mark A. Neifeld

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We use maximum-likelihood (ML) estimation to clean up the depth-variant image blur in volume holographic profilometry and to reconstruct the surface with high accuracy. Viterbi algorithm is used in ML estimation to reduce computational complexity and bit error rate.

Original language	English (US)
Title of host publication	2005 Conference on Lasers and Electro-Optics, CLEO
Pages	2345-2347
Number of pages	3
State	Published - 2005
Event	2005 Conference on Lasers and Electro-Optics, CLEO - Baltimore, MD, United States Duration: May 22 2005 → May 27 2005

Publication series

Name	2005 Conference on Lasers and Electro-Optics, CLEO
Volume	3

Other

Other	2005 Conference on Lasers and Electro-Optics, CLEO
Country/Territory	United States
City	Baltimore, MD
Period	5/22/05 → 5/27/05

ASJC Scopus subject areas

General Engineering

Cite this

Maximum-likelihood surface reconstruction with viterbi algorithm for volume holographic profilometry. / Sun, Wenyang; Barbastathis, George; Neifeld, Mark A.
2005 Conference on Lasers and Electro-Optics, CLEO. 2005. p. 2345-2347 CFP5 (2005 Conference on Lasers and Electro-Optics, CLEO; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sun, W, Barbastathis, G & Neifeld, MA 2005, Maximum-likelihood surface reconstruction with viterbi algorithm for volume holographic profilometry. in 2005 Conference on Lasers and Electro-Optics, CLEO., CFP5, 2005 Conference on Lasers and Electro-Optics, CLEO, vol. 3, pp. 2345-2347, 2005 Conference on Lasers and Electro-Optics, CLEO, Baltimore, MD, United States, 5/22/05.

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title = "Maximum-likelihood surface reconstruction with viterbi algorithm for volume holographic profilometry",

abstract = "We use maximum-likelihood (ML) estimation to clean up the depth-variant image blur in volume holographic profilometry and to reconstruct the surface with high accuracy. Viterbi algorithm is used in ML estimation to reduce computational complexity and bit error rate.",

author = "Wenyang Sun and George Barbastathis and Neifeld, {Mark A.}",

year = "2005",

language = "English (US)",

isbn = "1557527954",

series = "2005 Conference on Lasers and Electro-Optics, CLEO",

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note = "2005 Conference on Lasers and Electro-Optics, CLEO ; Conference date: 22-05-2005 Through 27-05-2005",

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AU - Barbastathis, George

AU - Neifeld, Mark A.

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Y1 - 2005

N2 - We use maximum-likelihood (ML) estimation to clean up the depth-variant image blur in volume holographic profilometry and to reconstruct the surface with high accuracy. Viterbi algorithm is used in ML estimation to reduce computational complexity and bit error rate.

AB - We use maximum-likelihood (ML) estimation to clean up the depth-variant image blur in volume holographic profilometry and to reconstruct the surface with high accuracy. Viterbi algorithm is used in ML estimation to reduce computational complexity and bit error rate.

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M3 - Conference contribution

AN - SCOPUS:30944458259

SN - 1557527954

SN - 9781557527950

T3 - 2005 Conference on Lasers and Electro-Optics, CLEO

SP - 2345

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BT - 2005 Conference on Lasers and Electro-Optics, CLEO

T2 - 2005 Conference on Lasers and Electro-Optics, CLEO

Y2 - 22 May 2005 through 27 May 2005

ER -

Maximum-likelihood surface reconstruction with viterbi algorithm for volume holographic profilometry

Abstract

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ASJC Scopus subject areas

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