OLED Deterioration Compensation Using Partial Horizontal Line Sensing
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Solution Overview
Problem
Existing OLED devices face challenges in accurately compensating for differences in pixel deterioration due to external factors like light and temperature, leading to errors in brightness uniformity and image quality, particularly in regions used more frequently, such as logos or advertisements, resulting in defects like afterimages.
Innovation Solution
An OLED device and method that includes a deterioration compensator unit to detect deteriorated regions by analyzing stress data from input data, generating compensation data using both stress and sensing data, and correcting original stress data based on a threshold difference and sensing data weight, thereby improving accuracy and preventing overcompensation or non-compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the data counting method is used to compensate for pixel deterioration, then the productivity is improved by avoiding sensing periods, but the measurement precision deteriorates because external factors like light and temperature cannot be reflected
Solution Approach 1:
The display region is divided into multiple horizontal line groups, with different sensing frequencies applied to each group. This segmentation allows the system to maintain high productivity while gathering sufficient deterioration data across multiple regions to compensate for the inability to measure external factors directly.
Solution Approach 2:
The system uses feedback from stress data accumulated through data counting to continuously update and refine deterioration compensation. By monitoring changes in pixel characteristics over time and using this feedback to adjust compensation values, the system improves measurement precision without requiring continuous external factor sensing.
2Measurement precision
If sensing periods are added to sense driving currents of all pixels, then the measurement precision is improved for deterioration compensation, but the productivity deteriorates due to interruption of normal display operation
Solution Approach 1:
Instead of sensing all pixels with equal frequency, the system applies partial sensing action by dividing pixels into different horizontal line groups with different sensing frequencies. This allows sufficient deterioration data to be collected from representative samples while maintaining continuous display operation, avoiding the need to sense every pixel equally often.
Solution Approach 2:
The system implements periodic sensing of different horizontal line groups at different frequencies. By cycling through different groups in different frames, the system accumulates deterioration data over time without interrupting normal display operation, achieving both measurement precision and productivity.
3Device complexity
If the data counting method compensates for pixel deterioration without sensing, then the device complexity is reduced, but the reliability deteriorates due to error accumulation from not reflecting external factors
Solution Approach 1:
The system changes the parameter of sensing frequency for different horizontal line groups. By varying the sensing frequency parameter across different groups, the system accumulates diverse deterioration data that better represents overall pixel conditions, improving reliability without adding complex sensing hardware.
Solution Approach 2:
The system performs preliminary deterioration modeling using stress data from data counting before final compensation is applied. This preliminary action allows the system to prepare compensation values in advance based on accumulated stress data, reducing the need for complex real-time sensing while maintaining reliability.
Data Source
AI summary
An organic light emitting display (OLED) device may include a display panel, a gate driver, a data driver, a timing controller and a deterioration compensation unit. The deterioration compensator may detect one or more deteriorated regions in the display region based on stress data of the respective pixels, the stress data being generated by counting input data corresponding to the respective pixels, and generate compensation data of pixels included in each of the deteriorated regions, based on the stress data of the respective pixels and sensing data for deteriorations of pixels included in two or more horizontal lines which are arbitrarily selected among horizontal lines corresponding to the deteriorated region.