VR Image Processing Device Using Region-Specific Resolution Rendering
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Solution Overview
Problem
The increasing demand for high resolution and refresh rates in Virtual Reality (VR) technology poses a challenge due to the high data transmission requirements, which can lead to reduced refresh rates and increased power consumption.
Innovation Solution
The implementation of an image display method that involves acquiring an image, determining specific regions within the image, and applying different rendering algorithms to these regions, where the rendering resolution of the first region is greater than that of the second region, thereby reducing data transmission and power consumption while maintaining high refresh rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high resolution rendering is applied to the entire image, then the image quality is improved, but the data transmission amount increases and refresh rate decreases
Solution Approach 1:
The display area is divided into multiple regions with different rendering resolutions. The first region (fixation point area) uses high resolution rendering while the second region (peripheral area) uses low resolution rendering. This segmentation allows the system to maintain high image quality where needed while reducing overall data transmission requirements, thereby achieving both high image quality and high refresh rate.
Solution Approach 2:
Different rendering resolutions are applied to different regions of the display area based on human visual characteristics. The fixation point region receives high resolution processing to ensure sharp visual focus, while peripheral regions use lower resolution to reduce computational load. This local quality differentiation resolves the contradiction by optimizing resource allocation according to actual visual needs.
2Manufacturing precision
If high resolution rendering is applied to the entire image, then the image quality is improved, but the power consumption increases
Solution Approach 1:
The rendering process is segmented into high-resolution processing for the fixation point region and low-resolution processing for peripheral regions. This segmentation reduces the total computational workload and data transmission requirements, thereby lowering power consumption while maintaining high image quality in the critical fixation area.
Solution Approach 2:
High power-consuming high-resolution rendering is applied only locally to the fixation point region where visual acuity is highest, while peripheral regions use lower power consumption low-resolution rendering. This local quality approach minimizes overall power consumption while preserving essential image quality.
3Manufacturing precision
If high resolution rendering is applied to the entire image, then the image quality is improved, but the data transmission amount increases
Solution Approach 1:
The image data is segmented into high-resolution data for the fixation point region and low-resolution data for peripheral regions. This segmentation significantly reduces the total data transmission amount while maintaining high image quality in the visually critical fixation area, thereby resolving the contradiction between image quality and data transmission requirements.
Solution Approach 2:
High-resolution image data is transmitted only to the fixation point region where visual detail is most important, while peripheral regions receive compressed low-resolution data. This local quality strategy minimizes data transmission volume while preserving essential visual quality where it matters most.
Data Source
AI summary
An image display method, an image processing method, an image processing device, a display system, and a computer-readable storage medium are disclosed. The image processing method is applied to an image processing device and includes: determining a first region in an original image; performing first processing on the first region in the original image to obtain a first processed region; performing second processing on the original image to obtain a second processed region; generating a first image based on the first processed region and the second processed region. A resolution of the first processed region is greater than a resolution of the second processed region.