Phase Mask Design Based on an Improved Particle Swarm Optimization Algorithm for Depth of Field Extension

Phase mask optimization is one of the critical steps in designing a wavefront coding system to extend the depth of field (DoF). As a classical phase mask, a cubic phase mask was taken as an example. An improved particle swarm optimization (PSO) algorithm was applied to calculate the parameters of th...

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Bibliographic Details
Published inApplied sciences Vol. 13; no. 13; p. 7899
Main Authors Huang, Zeyu, Li, Fei, Zhu, Lina, Ye, Guo, Zhao, Tingyu
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.07.2023
Subjects
Algorithms
Coding
Depth of field
depth of field extension
Efficiency
Image quality
Mathematical optimization
Modulation transfer function
Mutation
Optimization
Optimization algorithms
particle swarm optimization
phase mask
Simulated annealing
Velocity
Wave fronts
wavefront coding
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Summary:Phase mask optimization is one of the critical steps in designing a wavefront coding system to extend the depth of field (DoF). As a classical phase mask, a cubic phase mask was taken as an example. An improved particle swarm optimization (PSO) algorithm was applied to calculate the parameters of the cubic phase mask by introducing the modulation transfer function as the optimization criterion and a threshold as a constraint. The quality of the subsequent image restoration is guaranteed on the premise of the extended DoF. Finally, the improved PSO was proved to be faster, more efficient, and more accurate compared to the simulated annealing algorithm and the traditional PSO. The experimental results verify that the cubic phase mask optimized by the improved PSO can achieve DoF extension in the wavefront coding system. The improved PSO can also be applied to other phase masks of wavefront coding systems.
ISSN:2076-3417
2076-3417
DOI:10.3390/app13137899