OLED Sub-Pixel Degradation Compensation Using Under-Display Camera Feedback
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Solution Overview
Problem
Existing OLED displays face challenges in predicting and addressing degradation of individual sub-pixels, which can affect color accuracy and overall display performance, particularly in full-color displays.
Innovation Solution
A system is implemented that uses a camera below the display to measure luminance data, allowing a controller to predict and adjust video signals based on the degradation of sub-pixels, incorporating a memory device to store luminance and temperature history, and calculating degradation over time to modify video signals accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If OLED displays operate for extended periods, then display functionality is maintained, but sub-pixel degradation occurs affecting color accuracy and performance
Solution Approach 1:
The system performs preliminary degradation prediction by analyzing luminance and temperature history data before significant color accuracy degradation occurs. The controller calculates predicted degradation values and proactively adjusts video signals to compensate for anticipated sub-pixel performance changes, preventing color accuracy issues before they manifest.
Solution Approach 2:
The system implements a feedback loop where the camera continuously captures display output, the controller analyzes luminance data to calculate degradation, and adjusts video signals based on this feedback. This closed-loop system monitors actual display performance and dynamically compensates for degradation, maintaining color accuracy throughout the display's operational lifespan.
2Measurement precision
If a camera system is added below the display to measure luminance data, then degradation prediction capability is improved, but device complexity increases
Solution Approach 1:
The camera system serves multiple functions: it captures display luminance data for degradation analysis, can function as a regular camera for photography, and enables various display-related measurements. By making the camera multi-functional, the patent reduces the need for dedicated separate components, thereby limiting the increase in device complexity while achieving precise luminance measurement capability.
Solution Approach 2:
The system uses the display's own output as the measurement target, eliminating the need for external test equipment or separate calibration devices. The camera captures what the display actually produces, and the controller analyzes this self-generated data to calculate degradation, allowing the system to self-diagnose and self-correct without external intervention.
3Reliability
If video signals are dynamically adjusted based on predicted degradation, then color accuracy is maintained, but processing requirements and energy consumption increase
Solution Approach 1:
The system applies partial correction by adjusting only the portions of the video signal that are affected by degradation, rather than processing the entire signal uniformly. The controller calculates degradation-specific correction values and applies them selectively to compensate for sub-pixel performance changes, reducing overall processing requirements compared to complete signal reprocessing.
Solution Approach 2:
The system performs degradation calculation and correction preparation in advance based on historical luminance and temperature data, rather than reacting to actual color errors after they occur. This preliminary processing allows the system to prepare correction strategies proactively, reducing real-time processing energy requirements when actual video rendering occurs.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively predicts and mitigates sub-pixel degradation, maintaining display quality by dynamically adjusting video signals, thereby enhancing color accuracy and extending the lifespan of the display.
Implementation Method 1
OLEDs make use of thin organic films that emit light when voltage is applied across the device
Implementation Method 2
using data measured from a camera below the display
Data Source
AI summary
Embodiments of the disclosed subject matter provide a device that includes a full color display. A camera may be disposed below the full color display. A controller may modify a video signal applied to one or more sub-pixels of the full color display based on a predicted degradation of the one or more sub-pixels, such that the modification is updated by the controller based on luminance data for the one or more subpixels acquired by the camera.