LED Screen Gray Scale Measurement Prediction
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Solution Overview
Problem
The inefficiency of gray scale measurement in LED screens due to the need for step-by-step data collection, leading to prolonged measurement times and reduced display quality, is a significant challenge in the field of image processing.
Innovation Solution
A method that collects initial gray scale data from an LED screen while displaying an image and predicts the remaining data based on periodic changes, using different prediction modes depending on the type of chip used for driving the screen, thereby reducing the number of measurements required.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gray scale data are collected step by step, then measurement accuracy is improved, but measurement time increases
Solution Approach 1:
The patent applies preliminary action by collecting a first part of gray scale data in advance when the LED screen is displaying an image, before the actual measurement process begins. This preliminary data collection enables subsequent prediction of the second part of gray scale data, significantly reducing the time required for complete measurement while maintaining accuracy
Solution Approach 2:
The patent uses copying by predicting the second part of gray scale data based on the periodic change characteristics of the first part data. Instead of directly measuring all gray scale values, the system creates a predicted copy of the remaining data through mathematical modeling and periodicity analysis, thereby reducing measurement time while preserving measurement precision
2Loss of information
If repeated measurements are performed to acquire all gray scale data, then measurement completeness is improved, but measurement efficiency deteriorates
Solution Approach 1:
The patent ensures data completeness while improving efficiency by using prediction algorithms that generate the second part of gray scale data based on the periodic characteristics observed in the first part. This copying approach through mathematical prediction maintains complete gray scale information without requiring repeated physical measurements
Solution Approach 2:
The patent applies parameter changes by utilizing the periodic change characteristics of gray scale data as a key parameter. By identifying and exploiting this periodicity, the system can predict unknown gray scale values from known ones, ensuring data completeness while dramatically improving measurement efficiency through reduced measurement iterations
Data Source
AI summary
Provided are a method and an apparatus for gray scale measurement. The method may include: a first part of gray scale data of an LED screen is collected when the LED screen is displaying an image; a type of a chip used for driving the LED screen is determined; and a second part of gray scale data of the LED screen is predicted based on the type of the chip and the first part of gray scale data.