AI Video Processing System Adaptive Picture Quality
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Solution Overview
Problem
Conventional picture quality engines in television chips lack flexibility and require manual re-calibration for different display panels, limiting their ability to adaptively enhance image quality automatically.
Innovation Solution
A video processing system that includes an AI processor and a picture quality engine, which obtains device information of a display panel to configure image enhancement operations, such as contrast and color adjustments, enabling adaptive and automatic picture quality enhancement without manual re-calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a conventional PQ engine is used, then the picture quality enhancement can be provided, but the flexibility and adaptability are limited requiring manual re-calibration for different display panels
Solution Approach 1:
The system employs an AI processor that automatically acquires device information from the display panel and configures picture quality enhancement parameters without requiring manual user input or re-calibration. The PQ engine serves itself by adapting to different panels through automated AI-based parameter configuration, eliminating the need for manual operation while maintaining high adaptability
Solution Approach 2:
The system dynamically changes picture quality parameters based on device information obtained from different display panels. The AI processor modifies enhancement parameters such as contrast, brightness, and color settings according to the specific characteristics of each panel, enabling automatic adaptation without manual re-calibration while preserving the core picture quality enhancement functionality
2Extent of automation
If manual re-calibration is required for different display panels, then the PQ engine can be simplified, but the adaptability and automation are reduced
Solution Approach 1:
The AI processor acts as an intermediary between the PQ engine and the display panel. It automatically acquires device information from the panel and translates this information into appropriate enhancement parameters, enabling automation while keeping the core PQ engine relatively simple. The intermediary handles the complexity of adaptation rather than the entire system
3Manufacturing precision
If the PQ engine provides limited quality adjustment flexibility, then the device complexity is reduced, but the picture quality enhancement effectiveness is limited
Solution Approach 1:
The system transitions from a static PQ engine with fixed parameters to a dynamic system where enhancement parameters are automatically adjusted based on real-time device information. The AI processor continuously adapts parameters to match the specific characteristics of different display panels, significantly improving picture quality enhancement precision without requiring overly complex hardware
Data Source
AI summary
A video processing system includes an input port and a video processing circuit. The input port obtains device information of a display panel. The video processing circuit obtains an input frame and the device information, configures an image enhancement operation according to the device information, generates an output frame by performing the image enhancement operation upon the input frame, and transmits the output frame to the display panel for video playback.