Display Data Processing for VR Bandwidth Reduction
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Solution Overview
Problem
Virtual reality devices face challenges in data transmission bandwidth, leading to display tearing issues due to high resolution and refresh rate requirements, which affect user experience.
Innovation Solution
A processing method that determines a region of interest, compresses non-interest image data, and adjusts pixel numbers to ensure consistent transmission with the region of interest, reducing bandwidth requirements while maintaining high-quality image display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If data transmission bandwidth is increased to support high resolution and high refresh rate, then display quality is improved, but device complexity and power consumption increase
Solution Approach 1:
The display area is segmented into region of interest (ROI) and non-ROI areas. The ROI data is transmitted at full resolution without compression, while non-ROI data is compressed and transmitted at lower resolution. This segmentation allows the system to maintain high display quality in critical areas while reducing overall bandwidth requirements.
Solution Approach 2:
Different quality levels are applied to different regions of the display. The ROI receives lossless high-quality transmission, while non-ROI areas receive compressed lower-quality transmission. This local quality differentiation resolves the contradiction by providing high display quality where needed while reducing overall data transmission bandwidth.
2Quantity of substance
If compression is applied to reduce data transmission bandwidth, then bandwidth requirement is reduced, but image quality deteriorates
Solution Approach 1:
The image data is segmented into ROI and non-ROI portions. Compression is selectively applied only to non-ROI data, while ROI data remains uncompressed. This segmentation strategy reduces overall bandwidth requirements while preserving image quality in the important ROI regions.
Solution Approach 2:
Different compression strategies are applied to different regions: lossless transmission for ROI and lossy compression for non-ROI. This local quality differentiation resolves the contradiction by maintaining high image quality where it matters most while reducing bandwidth through compression in less critical areas.
3Ease of operation
If high resolution and high refresh rate are implemented, then user experience is improved, but data transmission bandwidth requirement increases
Solution Approach 1:
Display data is segmented into ROI and non-ROI regions. By transmitting only compressed non-ROI data alongside uncompressed ROI data, the system can support high resolution and high refresh rate displays while significantly reducing the overall bandwidth requirement compared to transmitting full-resolution data for the entire display area.
Solution Approach 2:
The system applies different quality levels to different display regions, providing lossless quality for ROI and compressed quality for non-ROI. This approach enables high refresh rate operation with improved user experience while reducing bandwidth consumption through selective compression.
Data Source
AI summary
An aspect of the disclosure provides a processing method for display data applied in a computing device, which processing method includes: determining a region of interest in the display area of the computing device; compressing data of an image in the display area; and transmitting data of an image of the region of interest and the compressed image data in the display area. The disclosure further provides a corresponding processing device and display device.