A Metric for Computing Subjective Sharpness From Wave Sensor Data
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This technology introduces a sharpness metric, for use both as a parameter to describe the quality of vision and as a merit function in the computation of prescriptions for vision correction from wavefront measurements.
The sharpness metric can be used to calculate the optimal laser refractive surgery treatment or in an auto-refractor device, to provide the defocus and astigmatism descriptors normally used to prescribe spectacles and contact lenses. It could enable an auto-refractor instrument which would be more accurate and reproducible than conventional subjective refraction as now done by optometrists.
The sharpness metric will have utility in describing the quality of vision to patients, which goes beyond a descriptor such as "20/20" vision. The metric will indicate where a patient's optical quality fits within the general population. Such information would be useful in guiding choices about refractive surgery, contact lens or spectacles.This sharpness metric can serve as the merit function (or optimization parameter) to extract an objective prescription of vision correction from wavefront data. Such an "objective" device would be an alternative to the conventional "subjective" refraction assessment in which an optometrist examines a patient by trying several lenses to see which seems best.
Additional work on metrics for human vision can be found in University of Rochester technology 1-11030-03046.
Sharpness Metric for Vision Quality
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