Screen Brightness Correction Algorithm for Display Uniformity
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Solution Overview
Problem
Existing methods for correcting screen brightness and color temperature are inefficient and unreliable, often requiring multiple adjustments and being specific to individual screens, leading to long adjustment times and poor accuracy across different or uneven screens.
Innovation Solution
A method that adjusts screen brightness and color temperature by measuring characteristic values, calculating adjustment step lengths, and iteratively refining parameters for each gray level, using initial values from the previous corrected level to minimize adjustments and ensure accuracy across all gray levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the RGB value of the previous corrected gray level is taken as the initial RGB value of the current gray level correction, then the correction process can be simplified, but the deviation from the corrected result becomes large and the adjustment time becomes longer
Solution Approach 1:
The patent performs preliminary measurement of the actual gray level values at all gray level positions before correction. This preliminary action provides accurate initial data for the correction algorithm, enabling it to calculate appropriate correction values without requiring multiple iterative adjustments, thus reducing adjustment time while maintaining process simplicity
Solution Approach 2:
The patent implements a feedback mechanism where the measured actual gray level values are compared with target gray level values, and the correction algorithm uses this feedback to calculate correction values. This feedback loop ensures that the correction process converges quickly to the desired result without excessive adjustments
2Productivity
If a preset function generates an initial RGB value for each gray level position, then the correction can start quickly, but the initial RGB value is only applicable to one screen and cannot be applied to different or uneven screens
Solution Approach 1:
The patent measures and corrects gray level values at multiple discrete positions across the screen (including corners and edge centers), creating a spatial map of actual gray level distribution. This local measurement approach captures screen non-uniformities and enables position-specific correction values that adapt to different screen characteristics
Solution Approach 2:
The patent dynamically determines correction values based on measured parameters rather than using fixed preset functions. The correction algorithm adjusts RGB values based on the actual measured gray level deviations at each position, making the correction adaptable to different screens and their specific non-uniformity patterns
3Manufacturing precision
If multiple adjustments are performed to ensure correction accuracy for each gray level, then the correction precision improves, but the number of adjustments increases and the adjusting time becomes longer
Solution Approach 1:
The patent replaces manual iterative adjustment with an automated correction algorithm that calculates correction values based on measured data. This substitution of mechanical adjustment with computational processing achieves high precision correction in a single pass, eliminating the need for multiple manual adjustment iterations
Data Source
AI summary
The present invention discloses a method of correcting screen brightness and color temperature, it relates to the field of display technology. The present invention is used for correcting the working parameters of the every m stages of gray-level pictures to adjust display of the screen to a maximum gray level, the correction is started from a gray level next to the maximum gray level, and only for correction of the first gray level, working parameters of the previous gray level are used as the initial values of working parameters of the current gray level correction; from correction of the second gray level, a correction estimated value of working parameters of a current gray level is estimated according to the working parameters and the local linearity relation of the two corrected gray levels, and the correction estimated value is taken as the initial working parameter of the current gray level correction. The method has the advantages that the method has higher reliability, thereby being capable of effectively correcting different screens or screens nonuniform in quality, and the method has higher accuracy and speed, thereby being capable of completing correction in fewer number of times of adjusting.