Paper
18 December 2019 Multi-wavelength diffractive lens design for color imaging
Author Affiliations +
Proceedings Volume 11335, AOPC 2019: Display Technology and Optical Storage; 113350C (2019) https://doi.org/10.1117/12.2547646
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China
Abstract
The optical properties of conventional optical components vary with wavelength. This leads to chromatic aberrations of optical components, and affects the accuracy and effectiveness of optical systems operating in wideband severely, especially in the visible band. The traditional optical design achieves achromatic result by bonding a plurality of lenses of different dispersion properties. The diffractive optical element (DOE) is characterized by miniaturization and light weight, which can realize functions such as array, integration, and arbitrary wave-front conversion. However, it is difficult to perform in conventional optical devices. In this paper, we can use diffractive lenses to achieve achromatic effects. A method of designing multi-wavelength achromatic lenses by using genetic algorithms combined with scalar diffraction theory is proposed. We use the focusing performance of different light wavelengths in the focal plane as the optimization condition. After several iterations, we finally get the optimal lens structure, and use this lens to do the simulation focusing experiment based on RGB three-color light. The simulation results show that the achromatic lens can focus the red, green and blue light to a point in space. In addition, the achromatic lens can be on the order of microns in diameter. Therefore, such a lens has a smaller volume, which is difficult to achieve with conventional lenses.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
JianYong Chen, GuiZhu Wang, Sui Wei, Chuan Shen, and Haixiu Yu "Multi-wavelength diffractive lens design for color imaging", Proc. SPIE 11335, AOPC 2019: Display Technology and Optical Storage, 113350C (18 December 2019); https://doi.org/10.1117/12.2547646
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KEYWORDS
Lens design

Diffraction

Color imaging

Computer simulations

Genetic algorithms

RGB color model

Diffractive optical elements

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