Cone Isolation And Chromatic Noise for Uncalibrated Color Tests
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Solution Overview
Problem
Existing color vision tests on monitors require color calibration and do not account for individual differences in luminous response, leading to inaccuracies in diagnosing color deficiencies.
Innovation Solution
A color vision test using pseudo-isochromatic plates (PIPs) that employ cone isolation and chromatic noise to mask errors in color calibration and individual luminous response, ensuring accurate testing without the need for monitor calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If color vision tests are displayed on monitors without color calibration, then ease of operation is improved, but measurement precision deteriorates
Solution Approach 1:
The patent transforms the color vision test into the LMS color space and applies cone isolation by setting specific LMS coordinates that target individual cone classes. This parameter transformation allows the test to be invariant to monitor color calibration while maintaining measurement precision through mathematical conversion from RGB to LMS space.
Solution Approach 2:
The patent introduces chromatic noise as an intermediary element that masks the effects of uncalibrated monitors. By adding controlled random noise to the LMS coordinates, the test becomes robust against display variations while preserving the ability to detect color vision deficiencies through the isolated cone responses.
2Measurement precision
If cone isolation is implemented to target specific cone classes, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent achieves cone isolation by carefully selecting LMS color coordinates that stimulate specific cone classes while minimizing stimulation of others. This mathematical approach to parameter selection provides precise cone targeting without requiring additional hardware or complex test procedures.
Solution Approach 2:
The patent replaces physical or mechanical methods of cone isolation with a computational approach using LMS color space transformations. Instead of using optical filters or specialized display hardware, the invention uses mathematical coordinate transformations and chromatic noise to achieve cone isolation, thereby reducing device complexity.
Data Source
AI summary
The invention generally relates to a color vision test using pseudo-isochromatic plates to test color deficiency. The pseudo-isochromatic plates of the color vision test having a targeted cone class of the human eye (S-cone, M-cone, or L-cone) and incorporating chromatic noise.