Display Substrate Gaze-Driven Luminance Control
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Solution Overview
Problem
Current display technologies for virtual reality (VR) and ultra-high-definition displays face challenges in achieving high resolution, high refreshing rates, and stability, leading to image distortion and increased power consumption due to inefficient image processing and structural errors in eyeball position calculations.
Innovation Solution
A display optimization method that divides a light-emitting substrate into sensitive and non-sensitive areas, where the sensitive area receives individual luminance control and the non-sensitive area is controlled by combined regions of light-emitting diodes, reducing calculation load and power consumption by dynamically adjusting driving currents based on viewer gaze information and scene recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual luminance control is applied to all unit regions in the light-emitting substrate, then image quality and resolution are improved, but power consumption and calculation load increase
Solution Approach 1:
The light-emitting substrate is divided into multiple unit regions, each controlled by individual light-emitting diodes. This segmentation allows selective control of luminance in different areas, enabling high-resolution display in sensitive regions while reducing power consumption in non-sensitive regions through combined control.
Solution Approach 2:
Different control strategies are applied to different regions of the light-emitting substrate. The sensitive area receives individual luminance control for high image quality, while the non-sensitive area uses combined-region control for power efficiency. This local differentiation resolves the contradiction between image quality and power consumption.
2Measurement precision
If individual luminance control is applied to all unit regions, then display resolution is improved, but calculation load increases
Solution Approach 1:
The display area is segmented into sensitive and non-sensitive regions. Individual control is applied only to unit regions in the sensitive area where high resolution is needed, while combined control is used in non-sensitive areas, reducing the overall calculation load while maintaining necessary display resolution.
Solution Approach 2:
High-resolution individual control is applied locally to sensitive areas where detailed image quality is required, while non-sensitive areas use simplified combined control. This local differentiation maintains display resolution where needed while reducing calculation load overall.
3Reliability
If high refreshing rate is implemented for entire display, then image stability is improved, but power consumption increases
Solution Approach 1:
The display is segmented into sensitive and non-sensitive areas. High refreshing rates are applied to sensitive regions to maintain image stability, while non-sensitive regions use lower refreshing rates, reducing overall power consumption while maintaining necessary image stability.
Solution Approach 2:
Different refreshing rates are applied to different regions based on their sensitivity. Sensitive areas receive high refreshing rates for stable image display, while non-sensitive areas use lower rates for power efficiency, resolving the contradiction between image stability and power consumption.
4Use of energy by moving object
If combined-region control is applied to non-sensitive areas, then power consumption is reduced, but image quality in those areas deteriorates
Solution Approach 1:
Different control qualities are applied to different regions: individual control for sensitive areas requiring high image quality, and combined control for non-sensitive areas where power efficiency is prioritized. This local differentiation accepts quality deterioration in non-sensitive areas in exchange for power savings.
Solution Approach 2:
Individual luminance control is applied partially only to sensitive areas where high image quality is necessary, while combined control is used in non-sensitive areas. This partial application of individual control maintains power efficiency while preserving image quality where it matters most.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method enhances image quality by reducing distortion and power consumption, improving user experience through efficient image processing and dynamic luminance adjustment, while maintaining high performance without secondary program compilation or hardware changes.
Implementation Method 1
Each unit region is associated with a luminance produced by one or more light-emitting diodes
Data Source
AI summary
The present application discloses a display optimization method. The method includes setting a light-emitting substrate including a first plurality of unit regions. Each unit region is associated with a luminance produced by one or more light-emitting diodes. The method further includes determining a sensitive area having a second plurality of unit regions in part of the light-emitting substrate in association with eyeball position of viewer relative to the light-emitting substrate and a non-sensitive area having a plurality of combined-regions in remaining part of the light-emitting substrate. Additionally, the method includes transferring local variables including information about the sensitive area and the combining factor k to a processor. Furthermore, the method includes operating the processor based on the local variables to individually control a first luminance of the one unit region in the sensitive area and to commonly control a second luminance of one combined-region in the non-sensitive area.