DocumentCode
2988749
Title
Maximum-likelihood surface reconstruction with Viterbi algorithm for volume holographic profilometry
Author
Sun, Wenyang ; Barbastathis, George ; Neifeld, Mark A.
Author_Institution
Dept. of Mech. Eng., MIT, Cambridge, MA, USA
Volume
3
fYear
2005
fDate
22-27 May 2005
Firstpage
2345
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.
Keywords
holography; image reconstruction; maximum likelihood estimation; surface topography measurement; Viterbi algorithm; bit error rate; computational complexity; depth-variant image blur; maximum-likelihood surface reconstruction; volume holographic profilometry; Crosstalk; Holographic optical components; Holography; Image reconstruction; Image resolution; Intersymbol interference; Maximum likelihood estimation; Optical imaging; Surface reconstruction; Viterbi algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Lasers and Electro-Optics, 2005. (CLEO). Conference on
Print_ISBN
1-55752-795-4
Type
conf
DOI
10.1109/CLEO.2005.202466
Filename
1573532
Link To Document