Procedure for Over-all Lens Evaluation Using OTF Data.

Area of Science:

• Optical Engineering
• Image Quality Assessment
• Computational Optics

Background:

• Traditional image quality evaluation can be labor-intensive.
• Large datasets of optical transfer function (OTF) curves are often available but underutilized.
• Automated testing generates significant amounts of optical performance data.

Purpose of the Study:

• To develop a computational method for evaluating image quality across an entire field using recorded OTF data.
• To enable the location of optimum image planes through computer processing of test data.
• To facilitate decision-making in lens design and quality control.

Main Methods:

• Utilizing large volumes of computer-accessible OTF curve data.
• Applying computer processing to evaluate image quality metrics over the field.
• Calculating merit parameters like OTF, photographic resolution, and Strehl criterion as averages or from individual field points.
• Testing the method on a wide-angle aerial photographic objective.

Main Results:

• Demonstrated the ability to obtain over-the-field averages of merit parameters with flexible weighting.
• Provided example results for a wide-angle aerial photographic lens.
• Showcased the potential for evaluating image quality and locating optimal image planes.

Conclusions:

• The described method offers practical utility for mass utilization of OTF test information.
• It facilitates informed decisions regarding lens design, fabrication quality, and performance.
• The approach is feasible with automated instruments and manageable computational resources.