RGBW Image Data Processing for Display Brightness and Power Efficiency
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Solution Overview
Problem
Traditional image data processing methods for display devices fail to fully utilize the white component effectively, leading to limited brightness enhancement and non-smooth variation of red, green, and blue values with grayscales, resulting in suboptimal display panel performance.
Innovation Solution
An image data processing method that converts RGB image data to RGBW data through gamma correction, inverse gamma conversion, and gain coefficient calculation, generating white sub-pixel data to enhance display brightness while maintaining color accuracy and power efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional image data processing methods separate the white component synthesized by original RGB components, then the processing is simple, but the transmittance cannot be improved by fully using the white component
Solution Approach 1:
The patent changes the parameter representation from direct RGB values to gamma-corrected values, enabling more effective utilization of the white component. By applying gamma correction to the input RGB values before processing, the system can better control the white component extraction and achieve improved transmittance while maintaining processing feasibility.
Solution Approach 2:
The patent performs gamma correction on the input RGB values before separating the white component. This preliminary action prepares the data in a form that enables more effective white component utilization, allowing the system to achieve better transmittance performance before the actual white component extraction and processing occurs.
2Illumination intensity
If the original RGB components are increased and then the white component is separated to maximize brightness, then the display panel brightness is improved, but the values of Ro, Go, and Bo cannot vary smoothly with the grayscales
Solution Approach 1:
The patent inverts the traditional processing sequence by first applying gamma correction to the input RGB values, then separating the white component. This reversal of the conventional approach (which separates white first then applies corrections) enables both brightness enhancement and smooth grayscale variation, as the gamma-corrected values provide a better foundation for white component extraction that maintains color accuracy across the grayscale range.
Solution Approach 2:
The patent transforms the parameter space by applying gamma correction to the input values, which changes the distribution and relationship of R, G, and B components. This parameter transformation enables the white component separation to produce smoother grayscale variations while maintaining the brightness enhancement benefit, resolving the contradiction between brightness and grayscale smoothness.
Data Source
AI summary
An image data processing method and a device thereof are disclosed, and the method includes: receiving first red, green, and blue image data; executing a gamma correction process for the first red, green, and blue sub-pixel image data; generating a first white sub-pixel image data; generating a third red, green, and blue sub-pixel image data and executing an inverse gamma conversion process. The present invention is able to convert RGB image data to RGBW image data.