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
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;
Conference_Titel :
Lasers and Electro-Optics, 2005. (CLEO). Conference on
Print_ISBN :
1-55752-795-4
DOI :
10.1109/CLEO.2005.202466
