RGBW Sub-Pixel Arrangement for Image Contrast and Artifact Reduction
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Solution Overview
Problem
Traditional display panels using RGBW technology face issues with color edge artifacts, fuzzy edges, and inconsistent color tone when displaying black characters on a white background, which are not adequately addressed by existing filtration methods, and require additional hardware costs.
Innovation Solution
An image data processing method that transforms RGB display data into RGBW format by adding white sub-pixels, distributing and rearranging sub-pixel data to maintain image contrast, resolution, and color tone without additional hardware, using a pixel array with specific arrangements of red, green, blue, and white sub-pixels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If RGBW technology is used to add white sub-pixels, then backlight transparency increases and luminance of white image increases, but color edge artifacts and fuzzy edges occur when displaying black characters on white background
Solution Approach 1:
The patent segments the pixel array into multiple types of pixels (first pixels with RGB sub-pixels, second pixels with RGBW sub-pixels, third pixels with specific color arrangements). This segmentation allows different regions to use different pixel configurations, enabling high luminance in white areas while avoiding color edge artifacts in text regions through selective pixel type assignment.
Solution Approach 2:
The patent applies local quality by assigning different pixel types to different spatial locations based on image content characteristics. White background areas use second pixels (RGBW) for high luminance, while black character areas use first or third pixels to prevent color edge artifacts. The processing unit determines pixel type assignment based on local image properties such as luminance and edge detection.
2Reliability
If white sub-pixels are added to replace R, G, and B sub-pixels, then image contrast increases, but color tone becomes inconsistent
Solution Approach 1:
The patent segments pixel replacement strategy into selective white sub-pixel addition rather than complete replacement. Second pixels contain one white sub-pixel and three color sub-pixels (RGBW), maintaining color information while adding white for contrast enhancement. This selective approach preserves color tone consistency while improving image contrast.
Solution Approach 2:
The patent changes the parameter of sub-pixel configuration from traditional RGB to RGBW combinations. By adjusting the composition of sub-pixels in second pixels (one white, three color sub-pixels), the system achieves both high contrast and color tone consistency. The processing unit controls the ratio and distribution of different sub-pixel types to maintain color fidelity.
3Object-generated harmful factors
If nine points of edges filtration is applied to eliminate color edge artifacts, then some edge issues are improved, but additional hardware costs are required and effect needs improvement
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple pixel types (first, second, and third pixels with different sub-pixel arrangements) before image processing. The processing unit selects and assigns appropriate pixel types based on detected image characteristics, eliminating the need for post-processing filtration hardware. This proactive approach prevents color edge artifacts at the source rather than correcting them afterward.
Solution Approach 2:
The patent substitutes mechanical/hardware filtration systems with a software-based pixel arrangement strategy. Instead of using physical filtration hardware to remove color edge artifacts, the system uses algorithmic control to assign specific pixel types to specific regions, achieving the same effect through data processing rather than hardware intervention.
4Measurement precision
If R, G, and B sub-pixels are replaced with W sub-pixels, then resolution rate is maintained, but color saturation decreases
Solution Approach 1:
The patent applies local quality by maintaining color saturation in regions where it is needed. Third pixels use specific color arrangements (e.g., RGW or GBW) to preserve color information in text regions, while second pixels use RGBW combinations for high luminance in background regions. This localized approach maintains both resolution and color saturation where required.
Solution Approach 2:
The patent uses composite pixel structures combining white sub-pixels with color sub-pixels in specific ratios. Second pixels have one white and three color sub-pixels, while third pixels have variations like two white and two color sub-pixels. This composite approach allows the system to achieve high contrast and resolution while preserving color saturation through the combined properties of different sub-pixel types.
Data Source
AI summary
An image data processing method and device are disclosed. The method comprising: receiving a first display data combination, the first display data combination comprises red, green, and blue sub-pixel display data; transforming the first display data combination into a second display data combination, the second display data combination comprises red, green, blue, and white sub-pixel display data; transforming the second display data combination into a third display data combination, the third display data combination comprises any three of the red, green, blue, and white sub-pixel display data. The disclosed method can raise image contrast.