Eye-Tracking Display Panel Motion Blur Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current display technologies face challenges in reducing motion blur effects, particularly in professional displays, where the image sticking effect leads to a severe reduction in visual quality due to the limited time interval for backlight activation and liquid crystal molecule refreshing, resulting in insufficient brightness and poor visual experience, especially when the user's gaze moves to areas with severe motion blur.
Innovation Solution
A display system that dynamically adjusts the motion blur effect by partitioning the display panel into regions based on eye-tracking information, using an image capturing device to identify the user's visual range and adjusting the backlight driving current to reduce motion blur in the focused area while maintaining sufficient brightness across the panel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the time interval of turning on the backlight device is extended to enhance brightness, then the brightness of the displayed image is improved, but the motion blur effect becomes severe
Solution Approach 1:
The display panel is divided into a first area (good area without motion blur) and a second area (bad area with motion blur). The backlight device is controlled to be turned on during different time intervals for different areas: during the blank interval for the first area, and during both blank interval and pixel active interval for the second area. This segmentation allows different brightness-motion blur tradeoffs for different regions.
Solution Approach 2:
Different quality requirements are applied to different areas of the display panel. The first area (where users typically focus) maintains high quality by preventing motion blur, while the second area accepts lower quality with motion blur present. This local quality approach optimizes overall user experience by focusing resources on the most important viewing area.
2Object-affected harmful factors
If the time interval of turning on the backlight device is within the blank interval to reduce motion blur, then the motion blur effect is reduced, but the brightness of the displayed image becomes insufficient
Solution Approach 1:
The display panel is divided into a first area (good area without motion blur) and a second area (bad area with motion blur). The backlight device is controlled to be turned on during different time intervals for different areas: during the blank interval for the first area, and during both blank interval and pixel active interval for the second area. This segmentation allows different brightness-motion blur tradeoffs for different regions.
Solution Approach 2:
Different quality requirements are applied to different areas of the display panel. The first area (where users typically focus) maintains high quality by preventing motion blur, while the second area accepts lower quality with motion blur present. This local quality approach optimizes overall user experience by focusing resources on the most important viewing area.
3Illumination intensity
If the display panel is partitioned into good area and bad area with fixed time intervals, then the brightness of the displayed image is enhanced, but the motion blur effect in the bad area becomes severe causing bad visual experience
Solution Approach 1:
The system dynamically adjusts the backlight driving current based on real-time eye tracking position information. When the user's eyes are tracking a specific region, the system identifies that region as the first area and adjusts backlight timing to eliminate motion blur in that area. This dynamic adaptation allows the system to optimize for the user's actual viewing area rather than using fixed partitions.
Solution Approach 2:
The system uses an image capturing device to track eye positions and provides feedback to the control device. This feedback loop allows the system to continuously identify which area the user is viewing and dynamically adjust the backlight timing to reduce motion blur in that specific area, creating a responsive adaptive system.
Data Source
AI summary
A motion blur effect adjustment method includes partitioning a display panel into at least two regions, tracking positions of eyes for generating position information of eyes tracking by using an image capturing device, acquiring a first region corresponding to a visual range of the positions of eyes from the at least two regions according to the position information of eyes tracking, reducing a first motion blur effect of the first region, and adjusting a second motion blur effect of a second region outside the first region.


