Optimal selection of aspheric surfaces in optical design

Yabe, Akira

doi:10.1364/opex.13.007233

Cited by 15 publications

(4 citation statements)

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“…In our design cases, the first, the third, the fourth, and the fifth lenses were spherical lenses, the second component was an aspheric lens (using OKP4HT or PMMA material), and the last element was cover glass for the image sensor. From the technical point of view of optical design, the position of the aspheric lens has great influence on the performance of an optical system [22,23]. To find the most effective position among all the possibilities is one of the important tasks of optical lens designers.…”

Section: Wide-angle Fisheye Lens Designmentioning

confidence: 99%

Design of a Miniaturized Wide-Angle Fisheye Lens Based on Deep Learning and Optimization Techniques

2022

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This paper presents the optimization design of a miniaturized five-element wide-angle fisheye lens using a deep learning algorithm. Zemax optical design software was used to simulate and optimize the wide-angle fisheye lens. A deep learning algorithm helped to find the best combination of different lens materials. We first used six lens elements as an initial configuration to design miniaturized wide-angle fisheye lenses using the optimization process. The optical system components were gradually decreased to five lens elements. Both OKP4HT and polymethyl methacrylate (PMMA) plastic aspheric lenses were selected to replace the second spherical glass lens in the original design. We propose two types of wide-angle fisheye lens designs with four spherical lenses and one aspheric lens. The results for these designs indicated a viewing angle of 174°, a total length of less than 15 mm, a spot size of less than 6 μm, lateral color within ±1 μm, field curvature within ±0.02 mm, and F-θ distortion of ±3.5%. In addition, the MTF value was larger than 0.4 at the spatial frequency of 100 cycles/mm.

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Section: Wide-angle Fisheye Lens Designmentioning

confidence: 99%

Design of a Miniaturized Wide-Angle Fisheye Lens Based on Deep Learning and Optimization Techniques

2022

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“…The concept of the traveling aspherics is shown in Fig.1 [1]. The aspherics is viewed as a sphere plus thin layer.…”

Section: Fig 1 Concept Of Traveling Asphericsmentioning

confidence: 99%

Global optimization with traveling aspherics: aspheric surface number as continuous variable

Yabe¹

2010

SPIE Proceedings

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The aspherics is effective to reduce the number of lenses and to improve the performance of the optical system. The lens designer determines the surfaces to be aspheric and executes the optimization. But it is unknown a priori which surfaces should be aspheric. If the designer tries all the combination of the aspheric surface numbers, the number of the combination is very large. One method to solve this difficulty is to extend the aspheric surface number to a continuous variable and include it in the variables of the optimization. I would call it the traveling aspherics. The best surface number of the aspherics is determined through the optimization. The global optimization is necessary to get the best surface number of the aspherics. In section 1, the definition of the traveling aspherics is explained. In section 2, the design procedure with the traveling aspherics is explained. In section 3, the effect of the traveling aspherics is examined through a practical lens design problem. The method of the traveling aspherics can be applied to any complicated cases and requires no special experience of the lens design.

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“…The starting point for the design was generated by a prototyping method of zoom lenses. In this design the position of aspheric elements is extended to continuous variables and the best position of aspheric elements is determined by the global optimization [2]. It is supposed that each zoom group has one aspheric element.…”

Section: Compact Zoom Lensmentioning

confidence: 99%