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Updated: Jun 11, 2026

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Automatic image performance balancing in lens optimization.

Dewen Cheng1, Yongtian Wang, Hong Hua

  • 1Department of Optoelectronic Engineering, Beijing Institute of Technology, Beijing 100081, China.

Optics Express
|July 1, 2010
PubMed
Summary
This summary is machine-generated.

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This study introduces an automated method to balance optical lens performance across fields, reducing manual adjustments and subjective designer influence. The new approach optimizes lens design weights automatically, saving time and improving results.

Area of Science:

  • Optical Engineering
  • Computational Optics

Background:

  • Balancing optical performance across sampled fields is critical in lens design.
  • Current software relies on manual, time-consuming weight adjustments by designers.
  • Manual adjustments are subjective and depend on designer experience, especially with many fields.

Purpose of the Study:

  • To develop an automated method for balancing optical performance across sampled fields in lens design.
  • To eliminate the need for manual weight adjustments during the lens optimization process.
  • To improve the efficiency and objectivity of lens design optimization.

Main Methods:

  • Implemented an automatic outer loop within the lens design optimization process.
  • Developed an algorithm to automatically calculate and apply weights for each field and azimuth.

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Last Updated: Jun 11, 2026

Simulating the Mechanics of Lens Accommodation via a Manual Lens Stretcher
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Simulating the Mechanics of Lens Accommodation via a Manual Lens Stretcher

Published on: February 23, 2018

Automated Compression Testing of the Ocular Lens
05:19

Automated Compression Testing of the Ocular Lens

Published on: April 5, 2024

  • Integrated the method into CODE V optical design software.

    • Main Results:

    • The automatic performance balancing method was successfully implemented in CODE V.
    • Design examples demonstrated the method's high effectiveness in balancing optical performance.
    • The automated process significantly reduced the time and subjective input required.

    Conclusions:

    • The proposed automatic performance balancing method is effective for lens design.
    • This automation streamlines the optimization process and enhances design outcomes.
    • The technique offers a significant improvement over manual weight adjustment methods.