Display Image Quality Control Using Contrast and Contour Sensitivity
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Solution Overview
Problem
Existing methods for diagnosing visual acuity in visually impaired individuals are inadequate, as they fail to accurately measure contrast sensitivity and contour sensitivity, leading to difficulties in providing personalized image quality enhancements.
Innovation Solution
A display apparatus and method that utilizes contrast and contour sensitivity tests to identify individual visual acuity levels, allowing for the selection and display of images with optimized image qualities tailored to the user's preferences and capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only a contrast sensitivity test is used to measure visual acuity, then the test process is simple, but the measurement precision of visual acuity level is insufficient
Solution Approach 1:
The visual acuity measurement process is segmented into two distinct components: a contrast sensitivity test to measure contrast sensitivity ability, and a contour sensitivity test to measure contour sensitivity ability. This segmentation allows each test to focus on a specific aspect of visual processing, improving overall measurement precision while maintaining manageable complexity through modular testing.
Solution Approach 2:
The patent merges the contrast sensitivity test and contour sensitivity test into a unified visual acuity measurement system. By combining results from both tests, the system achieves comprehensive visual acuity assessment that captures both contrast sensitivity and contour sensitivity dimensions, thereby improving measurement precision without excessive complexity.
2Device complexity
If general vision test charts with black letters on white background are used, then the test structure is simple, but the ability to measure contrast sensitivity and contour sensitivity separately is insufficient
Solution Approach 1:
The test chart is segmented into two functional components: contrast sensitivity test images with varying contrast levels to assess contrast sensitivity ability, and contour sensitivity test images with varying contour definitions to assess contour sensitivity ability. This segmentation enables separate measurement of both visual acuity components while maintaining a unified test structure.
Solution Approach 2:
Different regions of the test system are designed with specific local qualities: contrast sensitivity test images use uniform backgrounds with varying luminance contrasts, while contour sensitivity test images use edges and contours with varying definitions. This local quality differentiation allows precise measurement of specific visual processing capabilities without compromising overall test simplicity.
3Ease of operation
If image quality processing is not personalized, then the system is simple to operate, but the effectiveness of visual impairment assistance is reduced
Solution Approach 1:
The system performs preliminary visual acuity measurement through contrast sensitivity and contour sensitivity tests to determine individual visual characteristics. Based on these preliminary measurements, the system automatically selects and applies appropriate image quality processing parameters before image display, enabling personalized assistance without requiring complex user input or manual adjustment.
Solution Approach 2:
The system provides self-service functionality by automatically measuring visual acuity, determining appropriate image quality parameters, and applying processing without requiring user intervention. The system serves itself by using the measurement data to autonomously configure display parameters, maintaining operational simplicity while enhancing assistance effectiveness through personalization.
Data Source
AI summary
A display apparatus includes: a display; a user interface; a memory storing a contrast sensitivity test image and a contour sensitivity test image for measuring a visual acuity level of a user; and at least one processor configured to: through the user interface, receive a user input for identifying visual acuity information of the user, in a state in which the contrast sensitivity test image and the contour sensitivity test image are displayed on the display, based on the information stored in the memory, identify a plurality of sample images having different image qualities and corresponding to a plurality of image types based on the identified visual acuity information, in a state in which the visual acuity information of the user is identified based on the user input, identify image quality information corresponding to each of the plurality of image types.