Display Method Using AI to Predict Rendering and Insert Compensation Images
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Solution Overview
Problem
Long rendering times of image data lead to screen tearing and lagging, which can be mitigated by adjusting the screen refresh rate, but this affects the brightness, posing a challenge in maintaining a consistent viewing experience.
Innovation Solution
A display method utilizing an artificial intelligence model to analyze image data, predict rendering times, insert compensation image data, and dynamically adjust the screen frame rate and brightness by generating compensation images and adjusting voltage parameters to maintain consistent brightness and reduce tearing and lagging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the screen refresh rate is adjusted to match the output frame rate, then screen tearing and lagging are reduced, but the brightness of the screen is affected
Solution Approach 1:
The system performs preliminary analysis of image data using an artificial intelligence model to predict rendering times before actual display. Compensation image data is generated in advance based on these predictions, allowing the system to prepare for potential brightness variations before they occur during display.
Solution Approach 2:
The system dynamically adjusts voltage parameters to compensate for brightness changes caused by frame rate adjustments. By changing the voltage applied to the display, the system maintains consistent brightness levels even when the refresh rate is modified to prevent screen tearing and lagging.
2Loss of time
If the rendering time of image data is reduced, then screen tearing and lagging are minimized, but the processing complexity increases
Solution Approach 1:
An artificial intelligence model is introduced as an intermediary between the image data and the display system. This AI model analyzes image data and predicts rendering times, enabling the system to optimize display timing without requiring complex real-time processing adjustments during the actual rendering pipeline.
Solution Approach 2:
The system performs image data analysis and rendering time prediction in advance using the AI model, before the actual display process. This preliminary action allows the system to prepare compensation strategies and minimize rendering time during the critical display phase, reducing screen tearing and lagging without adding complexity to the real-time processing path.
Data Source
AI summary
A display method includes the following operations. Multiple first image data are received by a processor through a graphics card. Multiple first image data are analyzed based on an artificial intelligence model by the processor. Multiple second image data are transmitted to the display by the processor. Multiple second image data include multiple first image data, at least one compensation image data between adjacent two of multiple first image data, or combinations thereof.