Gamma Tuning Linear Interval Brightness Deviation
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Solution Overview
Problem
Existing display modules suffer from deviations between actual and target brightness due to algorithm errors in gamma tuning, affecting display quality.
Innovation Solution
A gamma tuning method and apparatus that define a first interval with a linear functional relationship between grayscale values and target brightness values, generating a target gamma curve to reduce deviations and improve display effect.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If gamma tuning is performed using a standard gamma curve with gamma value of 2.2, then the display module can be tuned according to a conventional standard, but algorithm errors cause large differences between actual brightness and target brightness at certain grayscale values
Solution Approach 1:
The gamma curve adjustment is segmented into multiple intervals (first interval, second interval, third interval) with different adjustment strategies. The first interval uses linear adjustment, the second interval uses gamma curve adjustment, and the third interval uses linear adjustment again. This segmentation allows precise control over different brightness ranges to eliminate algorithm errors at specific grayscale values while maintaining overall display quality.
Solution Approach 2:
Different adjustment methods are applied to different intervals of the gamma curve based on local requirements. The first and third intervals use linear functional relationships for precise brightness control, while the second interval uses gamma curve adjustment for smooth transitions. This local quality approach ensures that each interval receives the most appropriate adjustment method for its specific characteristics.
2Manufacturing precision
If a linear functional relationship is used in the first interval between grayscale values and target brightness values, then brightness accuracy is improved in that interval, but the overall gamma curve complexity increases
Solution Approach 1:
The gamma curve is divided into multiple intervals, each with its own functional relationship. The first interval uses a linear functional relationship for precise brightness control, while other intervals may use different relationships. This segmentation allows the system to apply complexity only where needed (in the first interval for brightness accuracy) while keeping other parts simpler.
Solution Approach 2:
The patent changes the functional relationship parameter from a standard gamma curve to a linear functional relationship in the first interval. By adjusting the mathematical model parameter (from power function to linear function) in specific intervals, the system achieves better brightness accuracy without applying complexity across the entire gamma curve.
Data Source
AI summary
The present disclosure includes a gamma tuning method, a gamma tuning apparatus, and a display apparatus. The gamma tuning method includes defining a first interval, where a target gamma curve at least includes the first interval; and in the first interval, grayscale values and target brightness values have a linear functional relationship; obtaining the linear functional relationship; generating the target gamma curve; and programing the target gamma curve.