Subpixel Array Structure for Display Resolution and Aperture Ratio
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Solution Overview
Problem
Conventional pixel array structures in display devices face challenges in achieving high image resolution while maintaining a high aperture ratio and mass production yield, often resulting in reduced image quality due to the need for additional blocking layers and subpixel density reductions.
Innovation Solution
A pixel array structure with a 3G/2R/1B configuration, where three green subpixels and two red subpixels are arranged in a specific pattern to occupy different wavelength portions of the visible spectrum, allowing for reduced subpixel density without degrading perceived resolution, and utilizing subpixel rendering (SPR) to achieve high aperture ratios and improved image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If more blocking layers are provided between subpixels to increase resolution, then resolution is improved, but light emission aperture ratio decreases
Solution Approach 1:
The invention segments the pixel array into different column types (first type with RGB subpixels, second type with GB subpixels) and row types (odd rows vs even rows). This segmentation allows different regions to have different subpixel configurations, enabling high resolution in some areas while maintaining high aperture ratios in others, thus resolving the contradiction between resolution and aperture ratio.
Solution Approach 2:
The invention applies local quality by having different subpixel densities and configurations in different regions of the display. Specifically, odd rows have full RGB subpixels while even rows have only GB subpixels, and alternating columns have different subpixel arrangements. This local differentiation allows the display to achieve high overall resolution while maintaining high aperture ratios in specific regions where blocking layers are minimized.
2Area of stationary object
If subpixel density is reduced to increase aperture ratio, then aperture ratio is improved, but image quality degrades
Solution Approach 1:
The invention uses subpixel rendering (SPR) technology which creates virtual copies of subpixel information through algorithmic processing. By rendering additional subpixel data from adjacent physical subpixels, the system achieves high perceived image quality without requiring corresponding physical subpixel density, thus resolving the contradiction between aperture ratio and image quality.
Solution Approach 2:
The invention changes the parameter of subpixel configuration from uniform RGB arrangement to a patterned arrangement with alternating row types and column types. This parameter change allows the display to optimize both aperture ratio and perceived image quality by having regions with higher aperture ratios compensate for regions with lower subpixel densities through the SPR algorithm.
3Ease of manufacture
If conventional stripe-type pixel array structure is used, then manufacturing is simplified, but resolution and aperture ratio cannot both be high
Solution Approach 1:
The invention segments the pixel array into different column types and row types with specific subpixel arrangements. This segmentation allows the manufacturing process to use standardized patterns that are relatively simple to produce while achieving high resolution through the clever arrangement of different subpixel types in different regions, thus resolving the contradiction between manufacturing simplicity and resolution.
Data Source
AI summary
A pixel array structure for populating the display area of a display device (100, 200, 300, 400) includes a repeated first pixel group (110) that consists of one or more first colored subpixels (10), three or more second colored subpixels (20) and two or more third colored subpixels (30). The respective numbers of the first colored subpixels, the second colored subpixels, and the third colored subpixels that are provided within the first pixel group are preferably in a respective ratio of 1:3:2. In one embodiment, an input RGB image is remapped to have luminance values corresponding to Cyan-Magenta-Yellow coordinates and the latter are used in combination with subpixel rendering (SPR) to drive the colored subpixels of the pixel array structure.