Visual System Characterization Using Predetermined Response Models
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Solution Overview
Problem
Current visual tests for characterizing a subject's visual system sensitivity to contrast are lengthy and tedious, requiring extensive scanning of luminance, frequency, and external noise levels to fully characterize the visual system.
Innovation Solution
A method using a predetermined response model to focus the visual test on the visual signal processing elements that predominantly limit contrast sensitivity, allowing for an optimized test by varying luminance and spatiotemporal frequencies within specific ranges identified by the model, thereby reducing the test duration and focusing on specific elements related to prescription or diagnostic purposes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a complete/full visual test is performed to thoroughly characterize the visual system, then measurement precision and reliability are improved, but loss of time increases significantly
Solution Approach 1:
The patent applies preliminary action by using a predetermined response model that has been pre-established from prior knowledge of visual system responses. This model allows the test to focus on specific luminance and frequency ranges that are most relevant for characterizing the visual system, rather than performing exhaustive scans of all possible parameters. The model predicts which elements predominantly limit contrast sensitivity, enabling targeted measurement that achieves comprehensive characterization in reduced time.
2Measurement precision
If the range of luminance and frequency variations is extensively scanned to fully characterize the visual system, then measurement precision is improved, but device complexity and test procedure complexity increase
Solution Approach 1:
The patent applies local quality by focusing the visual test on specific local ranges of luminance and spatial/temporal frequencies that are identified as predominantly limiting contrast sensitivity through the predetermined response model. Instead of uniformly scanning all possible parameter ranges, the method concentrates measurement efforts on the critical regions where the visual system is most sensitive, thereby reducing procedural complexity while maintaining characterization accuracy.
3Loss of time
If a limited/optimized visual test is performed to reduce test time, then loss of time is reduced, but measurement precision may be compromised
Solution Approach 1:
The patent applies feedback by using a predetermined response model that incorporates prior knowledge of visual system responses to guide the optimized visual test. The model provides feedback on which luminance and frequency ranges are most critical for characterization, allowing the limited test to focus resources on the most informative measurements. This feedback mechanism ensures that the reduced test duration does not compromise measurement precision, as the test is strategically directed toward the most relevant parameters.
Data Source
AI summary
The invention relates to a method for characterizing a visual system of a subject using measures of the sensitivity to contrast, the visual system comprising visual signal processing elements each having an impact on the sensitivity to contrast, wherein a visual test where visual patterns having different spatiotemporal frequencies and with varying luminance levels and with varying levels of visual degradation of the visual patterns are shown to a subject to measure the sensitivity to contrast of said subject, is performed, wherein a predetermined response model of a visual system is preestablished on the basis of a determination of the visual signal processing element that predominantly limits the sensitivity to contrast for each value of luminance and spatiotemporal frequency, said predetermined response model relating the visual signal processing elements predominantly limiting the sensitivity to contrast to the luminances and to the spatiotemporal frequencies, wherein at least one of the visual signal processing elements is selected in order to be investigated, wherein at least one visual test is performed on the visual system of the subject, said visual test being optimized according to said at least one selected visual signal processing element, during the optimized visual test, the variations of the luminance levels and of spatiotemporal frequencies being limited within a range of luminance and a range of spatiotemporal frequency where the predetermined response model locates the visual signal processing element as predominant in limiting the sensitivity to contrast.