Suppression of Petzval Aberration in a Projector Lens by Using Genetic Algorithm

Author

Cheng-Mu Tsai

Author_Institution

Dept. of Comput. & Commun., Kun Shan Univ., Tainan, Taiwan

Volume

10

Issue

5

fYear

2014

fDate

May-14

Firstpage

380

Lastpage

387

Abstract

An optical solution method with genetic algorithm (GA) is proposed as a means to minimize the Petzval field curvature aberration (Petzval FCA), which is intrinsic, but plays a significant role at improvement of projection optics. Petzval FCA is generally more sensitive to the surface curvature and refractive index, closely related to the fundamental optical layout and its physical concept. Through the proposed optimization method in this research, with crossover and mutation operations provided by the GA, the simulation results imply that 79.75% at least of the Petzval FCA of projection optics can be eliminated, which leads to better performance of projector optics, especially in 1080P and 3-D high-definition projection optics.

Keywords

aberrations; genetic algorithms; high definition television; lenses; optical projectors; ray tracing; refractive index; 3D high definition projection optics; Petzval FCA suppression; Petzval field curvature aberration; crossover operation; fundamental optical layout; genetic algorithm; mutation operation; optical solution method; optimization method; projector lens; projector optics; refractive index; surface curvature; Equations; Genetic algorithms; Lenses; Optical imaging; Optical sensors; Optimization; Genetic algorithm (GA); field curvature aberration; optimization; ray tracing;

fLanguage

English

Journal_Title

Display Technology, Journal of

Publisher

ieee

ISSN

1551-319X

Type

jour

DOI

10.1109/JDT.2014.2301870

Filename

6720150