RGB to RGBW Color Conversion Using HSV Brightness Adjustment
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Solution Overview
Problem
Display technologies face challenges in enhancing brightness while maintaining better hue and color saturation, particularly in RGB to RGBW color space conversion, which often results in unnatural color transitions and increased power consumption.
Innovation Solution
A method involving conversion of RGB data to HSV color space, adjusting brightness using a Gaussian function while keeping hue and saturation unchanged, and then converting back to RGBW color space, utilizing a three-dimensional look-up table for interpolation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If RGB color space is converted to RGBW color space to display, then brightness for display is enhanced, but color saturation and color transition become unnatural
Solution Approach 1:
The patent transforms the color space conversion problem from direct RGBW mapping to a multi-step process involving HSV color space transformation. By changing the parameter representation (from RGB to HSV), the system can independently adjust brightness (V parameter) while preserving color information (H and S parameters), thereby resolving the contradiction between brightness enhancement and color saturation maintenance.
Solution Approach 2:
The patent segments the color conversion process into three distinct stages: RGB to HSV conversion, selective brightness adjustment in HSV space, and HSV to RGBW conversion. This segmentation allows independent optimization of brightness without compromising color saturation, as each stage handles specific aspects of the transformation separately.
2Illumination intensity
If RGB color space is converted to RGBW color space to display, then brightness for display is enhanced, but power consumption is reduced
Solution Approach 1:
The patent uses parameter transformation to RGBW color space to enable more efficient display driving. The HSV intermediate representation allows the system to calculate optimal RGBW values that maximize brightness output while minimizing the energy required from the backlight and sub-pixels, thus achieving power consumption reduction alongside brightness enhancement.
3Device complexity
If direct RGBW conversion is used, then processing is simple, but color transition becomes unnatural
Solution Approach 1:
The patent divides the color conversion process into three manageable segments: RGB to HSV transformation, brightness adjustment in HSV space, and HSV to RGBW conversion. While this increases processing steps compared to direct conversion, each segment is computationally efficient and can be implemented using lookup tables, thereby maintaining acceptable processing complexity while dramatically improving color transition naturalness.
Data Source
AI summary
The present invention relates to the art of color space conversion technique, and discloses a method for processing RGB data and a system for the same. The method comprises: S1: converting input values of three colors RGB into a HSV color space; S2: adjusting a brightness value V while keeping a hue value H and a saturation value S unchanged in the HSV color space; S3: converting the H, S, V values processed by step S2 from the HSV color space to the R, G, B, W color space to display. By converting the RGB color space to the HSV color space firstly, then enhancing the brightness V while keeping H, S unchanged in the HSV color space, and finally converting the HSV color space to the RGBW color space, it can be achieved that the brightness for display is enhanced while better hue, color saturation and natural color transition are maintained at the same time.