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

被引：0
|
作者：
Sun, WY [1 ]
Barbastathis, G [1 ]
Neifeld, MA [1 ]
机构：
[1] MIT, Dept Mech Engn, Cambridge, MA 02139 USA
来源：
2005 Conference on Lasers & Electro-Optics (CLEO), Vols 1-3 | 2005年
关键词：
D O I：
暂无
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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. (c) 2003 Optical Society of America.
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页码：2345 / 2347
页数：3
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