RGBW Color Conversion Gain Adjustment for Display Brightness
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Solution Overview
Problem
Current RGB color mixing methods in display panels, which add a white sub-pixel unit to enhance brightness and reduce power consumption, result in reduced color gamut and saturation, leading to poor local color and detail performance, especially when converting images with high brightness and luminance.
Innovation Solution
A method and apparatus for color conversion from RGB to RGBW color space that calculates adjusted RGB and W gains for image blocks and pixels using low pass filtering and interpolation, improving local color and detail performance by optimizing the conversion process based on target color compositions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If a white sub-pixel unit is added to enhance brightness and reduce power consumption, then brightness is improved and power consumption is reduced, but color gamut and saturation are reduced
Solution Approach 1:
The patent applies local quality by differentiating the treatment of different pixel types within the display panel. Specifically, first pixel units (without white sub-pixels) maintain their original color properties, while second pixel units (with white sub-pixels) utilize the white sub-pixel for brightness enhancement. This localized differentiation allows the display to achieve high brightness in certain areas without compromising color gamut and saturation in other areas, thereby resolving the contradiction between brightness improvement and color quality preservation.
2Illumination intensity
If a white sub-pixel unit is added to enhance brightness and reduce power consumption, then brightness is improved and power consumption is reduced, but color saturation is reduced
Solution Approach 1:
The patent implements local quality by creating distinct pixel unit types with different compositions and functions. First pixel units contain only red, green, and blue sub-pixels for accurate color reproduction, while second pixel units include white sub-pixels for brightness enhancement. This spatial differentiation ensures that color saturation is maintained in first pixel units while brightness is improved in second pixel units, resolving the contradiction between these two properties.
Solution Approach 2:
The patent applies segmentation by dividing the display panel into multiple pixel units with different structures. Specifically, the panel is segmented into first pixel units (RGB only) and second pixel units (RGBW with white sub-pixel). This segmentation allows different regions to serve different functions: color accuracy in first pixel units and brightness enhancement in second pixel units, thereby resolving the contradiction between color saturation and brightness.
3Illumination intensity
If minimum value of RGB values is set as output value of W color, then brightness is greatly increased and power consumption is reduced, but local color performance is worsened
Solution Approach 1:
The patent applies local quality by implementing different pixel unit types with specific functions. First pixel units (RGB) are dedicated to color accuracy, while second pixel units (RGBW) are designed for brightness enhancement. By locally assigning different pixel types to different regions, the patent achieves high brightness in second pixel units without compromising color performance in first pixel units, thereby resolving the contradiction between brightness improvement and local color performance.
Data Source
AI summary
A method of color conversion from a red-green-blue (RGB) color space to a red-green-blue-white (RGBW) color space on an input image includes calculating RGB and white gains with respect to an image block of the input image, calculating RGB and white gain with respect to a pixel of the image block, wherein the white gain with respect to the pixel of the image block is adjusted based on the RGB gain with respect to the pixel of the image block, and performing the RGB to RGBW color conversion based on the RGB and white gain with respect to the pixel of the image block, which improves local color and detail performance of an output image corresponding to the input image.