Display Image-Sticking Correction Using User Input and Cumulative Stress
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Solution Overview
Problem
Existing organic light-emitting display devices face challenges in compensating for pixel deterioration, leading to image sticking issues due to long-term operation and environmental factors, which current predictive methods fail to accurately address.
Innovation Solution
An electronic device with a display module that includes a compensation circuit and adjuster, utilizing user manipulation to input an image-sticking correction signal, calculates cumulative stress through a stress calculator and compensator, and applies a compensation value based on user input and environmental factors to correct image signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If predictive compensation methods are used to address pixel deterioration, then display quality is improved, but accuracy in correcting image sticking is insufficient
Solution Approach 1:
The patent implements a feedback mechanism where the controller displays a test image with uniform color, measures the actual color values returned from the display, compares them with reference values, and automatically adjusts compensation values based on the deviation. This closed-loop feedback system continuously refines the compensation accuracy without requiring manual intervention.
Solution Approach 2:
The system performs self-diagnosis and self-correction by automatically detecting display deviations through color measurement and generating appropriate compensation signals. The controller autonomously identifies pixel deterioration patterns and adjusts compensation parameters without external assistance, enabling the display device to maintain optimal performance independently.
2Measurement precision
If manual image-sticking correction is implemented, then correction accuracy is improved, but operation complexity increases
Solution Approach 1:
The system automatically performs the correction process by measuring display output, calculating deviations from reference values, and applying compensation signals without requiring manual adjustment. The controller autonomously manages the entire correction workflow, eliminating complex user operations while maintaining high correction accuracy.
Solution Approach 2:
The automated system uses real-time feedback from color measurement to dynamically adjust compensation values. The controller continuously monitors display performance and automatically refines correction parameters based on measured deviations, replacing manual correction operations with an intelligent self-adjusting mechanism.
3Reliability
If cumulative stress calculation is performed, then pixel deterioration compensation is improved, but device complexity increases
Solution Approach 1:
The controller performs multiple functions including displaying test images, measuring color values, calculating deviations, storing reference data, and generating compensation signals within a single integrated unit. This multi-functional approach consolidates what would otherwise require separate components, managing complexity while enabling comprehensive pixel deterioration compensation through cumulative stress calculation.
Data Source
AI summary
An electronic device includes a main processor that provides an image signal and an image-sticking correction signal, and a display module that receives the image signal and the image-sticking correction signal and outputs an image data signal obtained by compensating for the image signal. The display module includes a compensation circuit that calculates cumulative stress based on the image data signal and outputs an image-sticking compensation signal and a compensation adjuster that outputs the image data signal obtained by correcting the image signal based on the image-sticking correction signal and the image-sticking compensation signal. The image-sticking correction signal is input by a user manipulation.