White Balance Adjustment Using Shift Amount Calculation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional white balance adjustment methods in liquid crystal display devices face issues when the additive color mixture is not established, leading to repeated measurements, non-convergent calculations, and errors in intensity settings, resulting in undesired chromaticity and luminance reduction.
Innovation Solution
A method that adjusts white balance by calculating a shift amount between measurement and calculation values of white color, generating a mathematical formula to refine color values, and iteratively correcting gradation values to achieve the desired chromaticity, even when the additive color mixture is not established, thereby reducing measurement repetition and ensuring accurate adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional white balance adjustment is performed assuming additive color mixture, then calculation is simplified, but chromaticity accuracy deteriorates when additive color mixture is not established
Solution Approach 1:
The patent changes the fundamental parameter of the color mixture model from additive color mixture to a general linear transformation model. By representing the relationship between primary color intensities and displayed color chromaticity through a general transformation matrix rather than assuming additive mixture, the method adapts to display devices where additive color mixture does not hold, thereby maintaining chromaticity accuracy without excessive calculation complexity
Solution Approach 2:
The patent introduces an iterative adjustment mechanism that dynamically adapts the color values based on measured chromaticity deviations. The system repeatedly measures the actual chromaticity, compares it with target values, and adjusts the transformation parameters accordingly until convergence is achieved, allowing the method to adapt to the specific characteristics of each display device
2Measurement precision
If white balance correction reduces intensity of one or more primary colors, then desired chromaticity is achieved, but luminance of white color decreases
Solution Approach 1:
The patent transforms the problem from directly reducing primary color intensities to achieving chromaticity adjustment through a general linear transformation of color values. By using a transformation matrix that operates on the color space rather than simply scaling down intensities, the system can achieve the desired chromaticity while preserving luminance through compensatory adjustments in the transformation parameters
Solution Approach 2:
The patent moves the chromaticity adjustment from the intensity dimension to the color space transformation dimension. Instead of adjusting chromaticity by reducing intensities along the same dimension, the method applies a linear transformation in the color space that independently controls chromaticity and luminance, allowing chromaticity correction without necessarily sacrificing luminance
3Measurement precision
If iterative measurement and adjustment is performed to achieve accurate chromaticity, then chromaticity accuracy improves, but measurement time and complexity increase
Solution Approach 1:
The patent performs preliminary characterization of the display device by measuring the actual color output of primary colors and establishing the transformation relationship in advance. This preliminary action creates a device-specific transformation model that can be applied directly without requiring iterative measurements during actual white balance adjustment, significantly reducing measurement time while maintaining accuracy
Solution Approach 2:
The patent implements a feedback mechanism where the measured chromaticity values are compared with target values, and the transformation parameters are adjusted based on the deviation. This closed-loop feedback allows the system to converge to accurate chromaticity values efficiently by learning from each measurement cycle and making targeted adjustments
Data Source
AI summary
A shift amount between a measurement value of a color value of white color and a calculation value of the color value of white color is calculated. Generated is a math formula in which the shift amount is reflected. Calculated is gradation values after the WB adjustment which the gradation values after the correction take in a case where the calculation value of the color value of the displayed color is a target color value of white color in the math formula. Contents of the WB correction are adjusted so that the gradation values after the correction is adjusted to be the gradation values after the WB adjustment in the case where the gradation values before the correction are specific gradation values.