RGBW Data Clipping for Luminance and Saturation Control
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Solution Overview
Problem
Existing data clipping methods for electronic display devices cause severe degradation in picture quality due to high-grayscale saturation, reducing the number of grayscales and losing detail, especially in bright images where high grayscales are saturated, leading to limited luminance increase.
Innovation Solution
A data clipping method that clips high grayscales from an input image, modulates RGBW data by multiplying the clipped data with a gain, and calculates a luminance increment by subtracting the clipped data from modulated RGB data, adding it to the White (W) data written to a White sub-pixel, thereby reducing grayscale saturation and enhancing luminance without desaturation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If data clipping is applied by multiplying pixel data by a gain to boost luminance, then luminance of lower grayscales is improved, but high-grayscale saturation occurs causing severe degradation in picture quality
Solution Approach 1:
The patent segments the data clipping process into two distinct parts: RGB data clipping and White data clipping. By separating these previously combined operations, the patent can apply different clipping thresholds and gain factors to each color channel independently, preventing high-grayscale saturation in RGB while maintaining luminance enhancement through White data adjustment.
Solution Approach 2:
The patent applies different clipping strategies to different color channels based on their specific characteristics. RGB data uses one clipping threshold and gain factor, while White data uses separate clipping threshold and gain factor. This localized quality approach ensures that each color channel is optimized without causing saturation in others, thereby improving picture quality while maintaining luminance enhancement.
2Illumination intensity
If high grayscale data is clipped and saturated to increase luminance, then pixel luminance is boosted, but detail at highest grayscales is lost
Solution Approach 1:
The patent segments the luminance enhancement process into RGB component clipping and White component clipping. By separating these operations, the patent preserves RGB detail while enhancing overall luminance through White data adjustment, preventing information loss that would occur with unified clipping.
Solution Approach 2:
The White data acts as an intermediary that carries luminance information without the saturation problems affecting RGB data. By clipping and enhancing White data separately, the patent uses it as a mediator to boost pixel luminance while preserving RGB detail, thus avoiding direct information loss in the color channels.
3Illumination intensity
If data clipping is applied to improve luminance representation, then lower grayscale luminance is enhanced, but the number of grayscales is reduced
Solution Approach 1:
The patent segments the grayscale enhancement into RGB grayscale clipping and White grayscale clipping. This segmentation allows independent optimization of each channel's grayscale distribution, maintaining a larger effective number of grayscales while still enhancing luminance in lower grayscale regions through coordinated clipping of both channels.
Data Source
AI summary
A data clipping method using red, green, blue and white data, and a display device using the same are disclosed. Red (R), Green (G), Blue (B), and White (W) data are modulated by multiplying clipped data of an input image by a gain, a luminance increment is created based on the result of subtracting the clipped data from the modulated RGB data, and the luminance increment is added to the W data to be written to a W sub-pixel.