Particle Swarm Optimization Algorithm for Reconstruction of Parallel Phase Shifting Digital Holography

被引：0
|
作者：
Anuja, A. C. [1 ]
Sheeja, M. K. [1 ]
机构：
[1] Sree Chitra Thirunal Coll Engn, Dept Elect & Commun Engn, Trivandrum, Kerala, India
来源：
PROCEEDINGS OF 2017 IEEE INTERNATIONAL CONFERENCE ON CIRCUIT ,POWER AND COMPUTING TECHNOLOGIES (ICCPCT) | 2017年
关键词：
Objective function; Particle Swarm Optimization; Weighted interpolation;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Parallel phase-shifting digital holography records a single shot hologram with different phase values. To obtain complex amplitude multiple holograms are needed from a single shot hologram. To extract these holograms weighted interpolation technique is used and the weights are calculated by using Particle Swarm Optimization (PSO). The algorithm is based on a new objective function that has been proposed for achieving desired efficiency. So the quality of the reconstructed hologram can be enhanced by reducing the phase error and calculation error.
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页数：4
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