Display Panel Driving Control for Afterimage Visibility Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Afterimages are visible on display panels due to driving time and panel deterioration, affecting display quality.
Innovation Solution
A display apparatus and method that control luminance and color coordinates of images based on user sensitivity through test data, reducing pixel deterioration and delaying the recognition of afterimages by adjusting data voltage and power voltages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the display panel is driven for extended periods to maintain productivity, then the productivity is improved, but afterimages become visible due to panel deterioration
Solution Approach 1:
The system performs preliminary actions by displaying test images with varying luminance levels before normal operation, measures user sensitivity to luminance changes, and pre-calculates compensation values. This preliminary characterization of user perception allows the system to proactively compensate for panel deterioration during extended operation, delaying afterimage visibility without reducing productivity.
Solution Approach 2:
The system dynamically changes display parameters including luminance levels, contrast ratios, and color temperatures based on measured user sensitivity and operational time. By adjusting these parameters in real-time, the system compensates for panel deterioration effects such as afterimages, maintaining display quality during extended operation while preserving productivity.
2Reliability
If luminance and color coordinates are adjusted to reduce afterimage visibility, then display quality is improved, but the complexity of the driving controller increases
Solution Approach 1:
The system implements feedback by measuring user sensitivity to luminance changes through test image display, using this measurement to calculate compensation values, and applying these values to adjust display parameters. This closed-loop feedback mechanism automates the compensation process, reducing afterimage visibility while managing controller complexity through algorithmic rather than hardware-based solutions.
Solution Approach 2:
The driving controller performs self-characterization by automatically displaying test images, measuring user response, calculating sensitivity parameters, and generating compensation values without external intervention. This self-service approach consolidates multiple functions into a single integrated controller, managing complexity through unified design rather than separate components.
3Reliability
If test data collection and processing is performed to convert luminance and color coordinates, then afterimage compensation is improved, but the processing time and operational complexity increase
Solution Approach 1:
The system performs time-consuming test image display and sensitivity measurement as a preliminary action during initial setup or calibration phases. By completing this characterization work beforehand, the system stores sensitivity parameters that can be quickly applied during normal operation, minimizing ongoing processing time while maintaining effective afterimage compensation.
Solution Approach 2:
The system implements a tiered approach where basic compensation uses pre-calculated parameters for quick operation, while more precise compensation can activate additional processing steps when needed. This partial action strategy provides adequate afterimage compensation for most cases without always invoking the full processing sequence, reducing average processing time while maintaining effectiveness.
Data Source
AI summary
A display apparatus includes: a display panel including a pixel, a data driver configured to apply a data voltage based on a data signal to the pixel and a driving controller configured to receive input image data and output the data signal. The driving controller converts a luminance of the input image data and a color coordinate of the input image data by using test data based on a test image and output the data signal based on a converted input image data.