VR Display Resolution Compression via Grayscale Segmentation
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Solution Overview
Problem
The increasing contradiction between data volume and bandwidth in virtual reality devices leads to undesirable experiences such as delays and lags when displaying high-definition content, due to excessive data requirements.
Innovation Solution
A display method that segments an image frame into regions, determines grayscale information for each region, and applies a resolution compression ratio based on this information, reducing data transmission by outputting display data efficiently across pixel units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-definition resources are used to improve display quality, then image resolution is improved, but data volume increases causing delays and lags
Solution Approach 1:
The display screen is divided into multiple grayscale regions, with each region assigned a different resolution compression ratio based on its grayscale characteristics. This segmentation allows different parts of the image to be processed at different resolutions, reducing overall data transmission requirements while maintaining visual quality in critical areas.
Solution Approach 2:
Different resolution compression ratios are applied to different grayscale regions of the display screen. Regions with lower grayscale values (darker areas) use higher compression ratios, while regions with higher grayscale values (brighter areas) use lower compression ratios. This local differentiation optimizes bandwidth utilization by allocating more data resources to visually critical regions.
2Measurement precision
If high-definition resources are used to improve display quality, then image resolution is improved, but bandwidth utilization deteriorates due to excessive data volume
Solution Approach 1:
The display screen is divided into multiple grayscale regions, with each region assigned a different resolution compression ratio based on its grayscale characteristics. This segmentation allows different parts of the image to be processed at different resolutions, reducing overall data transmission requirements while maintaining visual quality in critical areas.
Solution Approach 2:
Different resolution compression ratios are applied to different grayscale regions of the display screen. Regions with lower grayscale values (darker areas) use higher compression ratios, while regions with higher grayscale values (brighter areas) use lower compression ratios. This local differentiation optimizes bandwidth utilization by allocating more data resources to visually critical regions.
Data Source
AI summary
Disclosed are a display method, a display device, a virtual reality display device, a virtual reality device, and a storage medium. The display method includes: segmenting one frame of image into at least one image region; determining grayscale information of the image region; determining a resolution compression ratio of the image region according to the grayscale information of the image region, wherein a grayscale level of the image region is negatively correlated with the resolution compression ratio; and displaying an image in the image region according to the resolution compression ratio of each image region.


