Eye Gaze Based Differential Image Definition for XR Displays
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Solution Overview
Problem
Existing methods for extended reality devices to display images result in uniform image definition across the screen, leading to resource wastage and high hardware requirements, thereby increasing manufacturing costs.
Innovation Solution
The method involves determining a target area and a non-target area based on estimated eye gaze when an image is displayed, and then obtaining and displaying first and second sub-images in different buffers, with lower image definition in the non-target area compared to the target area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If uniform high-definition image is displayed across the entire screen, then image quality is improved, but memory resources and bandwidth are wasted in non-focus areas
Solution Approach 1:
The patent applies local quality by differentiating image definition across different screen regions. The target area (eye gaze region) maintains high definition while the non-target area uses lower definition, optimizing memory usage while preserving perceived image quality where it matters most to the user.
Solution Approach 2:
The patent segments the display screen into distinct target area and non-target area based on eye gaze estimation. This segmentation allows independent processing and storage of image data for each region, enabling differential quality levels and reducing overall memory requirements.
2Measurement precision
If uniform high-definition image is displayed across the entire screen, then image quality is improved, but hardware requirements increase
Solution Approach 1:
The patent reduces hardware complexity by applying high definition only to the target area where users actually look, rather than uniformly across the entire screen. This localized approach lowers memory bandwidth requirements and processing power needs while maintaining perceived image quality.
Solution Approach 2:
The patent applies partial action by providing high-definition image processing only for the portion of the screen that matters (target area), rather than excessively processing the entire screen at high definition. This reduces hardware burden while maintaining user experience.
3Measurement precision
If uniform high-definition image is displayed across the entire screen, then image quality is improved, but manufacturing costs increase
Solution Approach 1:
The patent reduces manufacturing costs by implementing differential image quality across screen regions. By storing and processing high-definition data only for the target area rather than the entire screen, the system requires less sophisticated (and therefore less expensive) hardware components.
Solution Approach 2:
The patent changes the image definition parameter dynamically based on spatial location and eye gaze data. This parameter variation allows the system to use lower definition in non-critical areas, reducing overall system requirements and associated manufacturing costs.
Data Source
AI summary
The disclosure relates to a method, an apparatus, an electronic device, and a storage medium for image display. The method includes: obtaining a first image; determining a target area and a non-target area; obtaining a first sub-image and a second sub-image based on the first image, where the first sub-image and the second sub-image are stored in different buffers, the first sub-image corresponds to both the target area and the non-target area, and the second sub-image corresponds to the target area; and displaying the first sub-image and the second sub-image on a screen of a terminal device, to cause image definition in the non-target area to be lower than image definition in the target area.