Display Apparatus Sensing Target Gate Line Selection
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Solution Overview
Problem
The existing display apparatuses face inaccuracies in determining the degree of deterioration of light emitting elements or electrical characteristics of subpixels, leading to erroneous compensation signals and deteriorated display quality due to the dependency on the image displayed and pixel structure.
Innovation Solution
A display apparatus and method that determine a sensing horizontal line based on input image data, using a driving controller to analyze grayscale data ratios and thresholds across multiple subpixels, allowing for precise compensation signals to enhance display quality by identifying optimal sensing target gate lines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensing is performed on arbitrary gate lines, then sensing operation can be implemented, but measurement precision of subpixel deterioration is reduced
Solution Approach 1:
The system performs preliminary analysis of input image data to identify gate lines with low grayscale data ratios before executing the sensing operation. This preliminary selection ensures that sensing is performed on optimal gate lines that provide accurate subpixel deterioration information, thereby resolving the contradiction between measurement precision and operational simplicity.
Solution Approach 2:
The system changes the selection criterion for sensing target gate lines from arbitrary selection to selection based on grayscale data ratio parameters. By calculating and comparing grayscale data ratios across different gate lines, the system identifies optimal sensing targets that maximize measurement precision while maintaining manageable system complexity.
2Measurement precision
If sensing is performed without image data analysis, then operation is simpler, but measurement precision of deterioration determination is reduced
Solution Approach 1:
The system performs preliminary analysis of input image data to calculate grayscale data ratios for each gate line before executing sensing operations. This preliminary action identifies optimal sensing targets that ensure high measurement precision without significantly impacting overall sensing efficiency, as the analysis is integrated into the existing data processing flow.
Solution Approach 2:
The system utilizes the input image data that is already being processed for display purposes to simultaneously determine optimal sensing gate lines. This self-service approach allows the system to perform deterioration determination with high precision without requiring additional external information or complex separate analysis processes.
3Measurement precision
If sensing line overlaps with subpixels, then manufacturing is simplified, but measurement precision is reduced due to interference
Solution Approach 1:
The system extracts and identifies gate lines with low grayscale data ratios from the overall image data, effectively separating optimal sensing targets from the rest of the display panel. This extraction approach allows sensing to be performed on specific gate lines that minimize interference from overlapping subpixels, thereby maintaining measurement precision while accepting the manufacturing constraint of sensing line overlap.
Data Source
AI summary
A display apparatus includes a display panel, a gate driver, a data driver and a driving controller. The display panel includes a gate line, a data line, a sensing line and a subpixel connected to the gate line, the data line and the sensing line. The gate outputs a gate signal to the gate line. The data driver outputs a data voltage to the data line. The driving controller controls the gate driver and the data driver. The display panel includes a first color subpixel, a second color subpixel and a third color subpixel. The driving controller is configured to determine a sensing target gate line among a plurality of gate lines based on first color data corresponding to the first color subpixel, second color data corresponding to the second color subpixel and third color data corresponding to the third color subpixel.