Variable Resolution Graphics Rendering via Region-Specific Pixel Sampling
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Solution Overview
Problem
Conventional graphics processing for wide field of view displays is inefficient due to equal pixel density across all regions, leading to excessive processing in edge and corner areas compared to central regions, resulting in an average inefficiency factor of 2.5 times more processing per unit solid angle.
Innovation Solution
Implementing metadata in the graphics pipeline to vary the number of active color samples per pixel across different regions of the screen, allowing pixel shaders to be invoked only for active samples, thereby reducing processing load in low-resolution regions while maintaining high resolution in critical areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If equal pixel density is used across all regions of the screen, then uniform image quality is maintained, but processing load increases excessively in edge and corner areas
Solution Approach 1:
The patent applies local quality by varying the pixel sample resolution across different regions of the display screen. Central regions maintain high pixel density with full color samples, while edge and corner regions use reduced pixel density with fewer color samples. This creates region-specific quality levels that match human visual perception, improving overall processing efficiency without sacrificing perceived image quality.
2Manufacturing precision
If high resolution is maintained across the entire screen, then image quality is preserved, but processing time and computational resources increase
Solution Approach 1:
The patent segments the display screen into multiple regions with different resolution requirements. The screen is divided into central regions and peripheral regions (edges and corners), with each segment assigned an appropriate pixel sample count. This segmentation allows the rendering system to process different regions at different resolutions, reducing total processing time while maintaining quality where it matters most.
Solution Approach 2:
The patent applies partial action by rendering only the necessary number of color samples for each pixel based on its screen location. Instead of always rendering all color samples uniformly across the screen, the system renders fewer samples in peripheral regions where human visual acuity is lower, reducing computational effort while maintaining perceptual quality.
3Productivity
If reduced processing in edge regions is implemented, then processing efficiency improves, but image quality may deteriorate in those areas
Solution Approach 1:
The patent changes the resolution parameter (pixel sample count) based on screen location. By adjusting the number of active color samples from 4 in central regions to 1 or 2 in peripheral regions, the system optimizes the balance between processing efficiency and image quality. This parameter change is driven by the understanding that human visual acuity decreases toward the edges of the visual field.
Data Source
AI summary
A graphics processing unit (GPU) is configured to receive metadata specifying an active sample configuration for a particular region of a display device among a plurality of regions of the display device and receive pixel data for one or more pixels in the particular region. The pixel data specifies the same number of color samples for each pixel. For each pixel in the particular region, the GPU invokes a pixel shader only for color samples specified to be active samples by the configuration.