Display Device Compensation Data Generation Using Multi-Gray Level Capture
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Display devices often exhibit non-uniform luminances and mura defects due to manufacturing process variations, which existing compensation methods fail to accurately address, leading to incomplete mura correction and potential power consumption issues.
Innovation Solution
A method and test device that generate accurate compensation data by capturing images of a display device using align pattern data with maximum reference gray level box data and full pattern data at various gray levels, allowing for precise determination of compensation values at multiple reference gray levels, including the maximum, to correct defects and non-uniformities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If inaccurate compensation methods are used, then manufacturing complexity is reduced, but manufacturing precision deteriorates
Solution Approach 1:
The compensation data generation is divided into multiple gray level measurements (first gray level, second gray level, third gray level) rather than a single measurement. Each gray level is measured separately using specific pattern data, and the results are combined to generate comprehensive compensation data. This segmentation approach improves measurement accuracy without requiring an overly complex single-step system.
Solution Approach 2:
Align pattern data with box data is generated and displayed before the actual luminance measurement to establish a reference framework. This preliminary action ensures that the subsequent full pattern data measurements are properly aligned and that the compensation data generation process is systematically organized, improving precision without adding operational complexity.
2Manufacturing precision
If compensation data is not generated at maximum reference gray level, then measurement time is reduced, but manufacturing precision deteriorates
Solution Approach 1:
The measurement process is segmented into distinct gray level measurements (first, second, and third gray levels) with the third gray level corresponding to the maximum reference gray level. This allows comprehensive compensation data to be generated across the full gray level range without requiring a single excessively long measurement process.
Solution Approach 2:
The method performs measurements at multiple gray levels (excessive action) including the maximum reference gray level, which provides more comprehensive compensation data than a single measurement would. This excessive measurement approach ensures high precision compensation data is generated at all gray levels, particularly at the maximum level which is critical for display quality.
3Manufacturing precision
If multiple gray levels are measured, then manufacturing precision is improved, but loss of time increases
Solution Approach 1:
The measurement process uses periodic action by sequentially displaying different pattern data (align pattern data with box data, then full pattern data) at different gray levels and capturing images at each stage. This structured periodic measurement approach systematically collects comprehensive data across multiple gray levels while maintaining an organized and efficient measurement sequence.
Solution Approach 2:
The align pattern data with box data is displayed and captured first as a preliminary step to establish alignment and reference information. This preliminary action prepares the system for the subsequent full pattern data measurements, ensuring that the multi-gray-level measurement process is efficiently organized and that time is not wasted on realignment or repositioning during later measurements.
4Reliability
If inaccurate compensation data is used, then device complexity is reduced, but reliability deteriorates
Solution Approach 1:
The compensation data generation is segmented into multiple independent measurement stages at different gray levels. Each stage uses specific pattern data optimized for that gray level range, and the results are combined to create comprehensive compensation data. This segmentation improves reliability by ensuring accurate compensation values are obtained at each gray level without requiring an overly complex single-stage measurement system.
Solution Approach 2:
The method performs measurements at multiple gray levels including the maximum reference gray level (excessive measurement), which provides more comprehensive and reliable compensation data than a single measurement would. This ensures that compensation values are accurately determined across the entire operating range of the display device, significantly improving mura defect correction reliability.
Data Source
AI summary
A method of generating information to control display of images providing a display device with align pattern data to which box data having a maximum reference gray level is added, obtaining a first capture image generated based on the align pattern data to which the box data is added, providing the display device with one or more full pattern data respectively having one or more reference gray levels lower than the maximum reference gray level, and obtaining one or more second capture images generated based on the one or more full pattern data. The method also includes generating compensation data including compensation values at the one or more reference gray levels and the maximum reference gray level. The compensation data may be generated based on the one or more second capture images and a portion of the first capture image corresponding to the box data.