Real-Time LCD White Balance Adjustment via YUV Domain Conversion
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Solution Overview
Problem
Current methods for white balance adjustment in LCD displays are time-consuming, difficult to implement in production lines due to their manual nature, and lack real-time capabilities, requiring large and expensive PC systems for configuration, and existing solutions are not suitable for real-time adjustments.
Innovation Solution
A system and method for real-time LCD white balance selection performed in the YUV domain, utilizing an RGB to YUV conversion unit, a white balance adjustment unit, and a YUV to RGB conversion unit, which maintains luminance while adjusting chrominance signals, allowing for efficient and automatic adjustments across various gray scales.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If white balance adjustment is performed manually using conventional methods, then the adjustment can be performed with simple equipment, but the process is time-consuming and difficult to implement on production lines
Solution Approach 1:
The patent pre-calculates and stores correction values for multiple gray scales before actual use. During real-time operation, the system only needs to retrieve and apply these pre-computed values rather than performing complex calculations, thereby achieving rapid white balance adjustment without requiring complex real-time computation resources.
Solution Approach 2:
The patent implements a dynamic white balance adjustment system that can rapidly switch between different color temperatures and gray scale combinations. The system uses real-time control signals to dynamically adjust the display panel's white balance parameters, enabling adaptive optimization for different display scenarios without manual intervention.
2Measurement precision
If PC is used to perform white balance adjustment on production line, then the adjustment precision can be maintained, but the equipment size and cost increase significantly
Solution Approach 1:
The patent extracts the essential white balance adjustment functionality from complex PC-based systems and implements it as a dedicated, simplified module integrated directly into the display device. This extraction maintains the core precision functionality while eliminating unnecessary complexity, reducing both equipment size and cost for production line deployment.
Solution Approach 2:
The patent uses a colorimeter to measure the actual display output and creates a digital copy of the color characteristics. This measured data is then used to generate correction values that are stored and applied, replacing the need for expensive PC-based measurement and adjustment systems while maintaining adjustment precision.
3Quantity of substance
If one set of white balance adjustment values is provided for all gray scales, then the storage requirement is reduced, but the adjustment accuracy for different gray scales deteriorates
Solution Approach 1:
The patent segments the white balance adjustment into multiple gray scale levels (e.g., 10 different gray scales from black to white). For each gray scale level, separate correction values are stored, allowing precise adjustment for each individual gray scale. This segmentation approach balances storage requirements with adjustment accuracy by organizing data in a structured manner.
Solution Approach 2:
The patent applies different correction values to different gray scale levels, recognizing that each gray scale has unique color characteristics that require tailored adjustment. Instead of using a uniform correction approach, the system provides locally optimized correction values for each gray scale region, thereby achieving high precision across the entire gray scale range.
4Measurement precision
If repetitive white balance measurement and computation is performed for each new white point, then the adjustment accuracy is maintained, but the real-time selection capability is lost
Solution Approach 1:
The patent performs comprehensive white balance measurements and computations in advance for multiple color temperatures and gray scale combinations. These results are stored as lookup tables containing correction values for various scenarios. During real-time operation, the system simply retrieves the appropriate pre-computed values based on the desired color temperature, achieving both high precision and real-time responsiveness without repetitive measurements.
Data Source
AI summary
An optimization system of real-time LCD white balance selection includes an RGB to YUV conversion unit, a white balance adjustment unit, and a YUV to RGB conversion unit. The RGB to YUV conversion unit receives an image signal and converts the image signal from RGB domain to YUV domain to generate a first YUV image signal. The white balance adjustment unit is connected to the RGB to YUV conversion unit for performing a white balance adjustment on the first YUV image signal and thus generating a second YUV image signal. The YUV to RGB conversion unit is connected to the white balance adjustment unit for converting the second YUV image signal from YUV domain to RGB domain.


