Display Panel Image Compensation Using Measured Data Filtering
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Solution Overview
Problem
The existing display systems face inaccuracies in image compensation due to errors in measured data, leading to non-uniform luminance and chromaticity issues in display panels.
Innovation Solution
A display system that includes a measurer, a measured data filter to remove false data, a compensation data generator, an interpolator, and an extrapolator to enhance the accuracy of image compensation by filtering out data outside allowable ranges and generating representative, interpolation, and extrapolation compensation data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measured data is used directly for image compensation without filtering, then the compensation process can be completed, but the accuracy of compensation data is reduced due to false measured data
Solution Approach 1:
The patent applies preliminary action by filtering false measured data before generating compensation data. The measured data filter removes erroneous data points that fall outside predetermined ranges before the compensation data generator processes the remaining data, ensuring that only valid measurements contribute to the final compensation values.
Solution Approach 2:
The patent introduces an intermediary component (measured data filter) between the measurer and the compensation data generator. This filter acts as a mediator that processes raw measured data, removes false data points, and passes cleaned data to the compensation data generator, thereby improving the reliability of the final compensation data.
2Device complexity
If all measured data including false data is used for compensation, then the compensation process is simpler, but the uniformity of optical characteristics deteriorates
Solution Approach 1:
The patent applies preliminary action by filtering false measured data before generating compensation data. The measured data filter removes erroneous data points that fall outside predetermined ranges before the compensation data generator processes the remaining data, ensuring that only valid measurements contribute to the final compensation values.
Solution Approach 2:
The patent introduces an intermediary component (measured data filter) between the measurer and the compensation data generator. This filter acts as a mediator that processes raw measured data, removes false data points, and passes cleaned data to the compensation data generator, thereby improving the reliability of the final compensation data.
3Reliability
If measured data is filtered to remove false data, then the accuracy of compensation data is improved, but the device complexity increases due to additional filtering components
Solution Approach 1:
The patent introduces an intermediary component (measured data filter) between the measurer and the compensation data generator. This filter acts as a mediator that processes raw measured data, removes false data points, and passes cleaned data to the compensation data generator, thereby improving the reliability of the final compensation data.
Solution Approach 2:
The patent applies parameter changes by establishing predetermined ranges for measured data based on statistical parameters such as mean and standard deviation. The filter removes data points that fall outside these dynamically determined ranges, adapting the filtering criteria to the actual measurement distribution rather than using fixed thresholds.
Data Source
AI summary
A display system includes a measurer, a measured data filter and a compensation data generator. The measurer measures an image at a measuring point of a display panel to generate measured data. The measured data filter removes a false measured data outside an allowable range among the measured data. The compensation data generator generates representative compensation data compensating the image based on the measured data in which the false measured data is removed.