Adaptive Data Flow Control for Video Image Processing
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Solution Overview
Problem
High frame rates and high Bits Per Pixel (BPP) in video image processing systems lead to jitter, misalignment, and unstable power consumption, affecting display quality and efficiency.
Innovation Solution
An adaptive data flow control system using a variable frame structure, with dynamic switching and bit definition, to adjust data flow strategies and implementation delays, ensuring optimal operating frequencies and display quality without increasing system complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If frame rate is increased to improve display quality, then image quality is improved, but jitter and misalignment occur during image display
Solution Approach 1:
The patent implements dynamic frame structure adjustment by introducing a variable frame structure that can adaptively change between different frame rates (e.g., 60Hz, 120Hz, 240Hz) based on real-time detection of pixel data volume and operating frequency. This dynamic adaptation allows the system to maintain high image quality while avoiding jitter and misalignment by adjusting the frame rate to match actual data flow conditions.
Solution Approach 2:
The patent changes the frame rate parameter dynamically based on detected pixel data volume and operating frequency conditions. By monitoring these parameters and adjusting the frame rate accordingly, the system resolves the contradiction between maintaining high image quality (higher frame rates) and ensuring display stability (avoiding jitter at excessive frame rates).
2Manufacturing precision
If Bits Per Pixel (BPP) is increased to improve image quality, then image quality is improved, but the actual operating frequency exceeds the normal operating range causing system instability
Solution Approach 1:
The patent implements a feedback mechanism that continuously monitors the actual operating frequency of the IP core and the volume of pixel data. When the operating frequency exceeds the normal range or pixel data volume becomes too high, the system automatically adjusts the frame structure and data flow control parameters to bring the operating frequency back within the stable range, thus maintaining system stability while preserving image quality.
Solution Approach 2:
The system dynamically adjusts the frame structure and data flow control based on real-time operating conditions. By making the frame structure adaptive rather than fixed, the system can handle high BPP scenarios without causing frequency instability, resolving the contradiction between image quality and system stability.
3Productivity
If frame rate is increased to improve display performance, then display performance is improved, but power consumption becomes too high or unstable
Solution Approach 1:
The patent implements periodic detection and adjustment of frame rate based on actual display needs and power consumption conditions. By using variable refresh rates rather than continuously maintaining high frame rates, the system achieves high display performance when needed while reducing power consumption during normal operation, resolving the contradiction between display performance and power efficiency.
4Reliability
If data flow control is added to resolve frequency issues, then system stability is improved, but device complexity increases
Solution Approach 1:
The patent implements a self-service data flow control mechanism where the system automatically detects operating conditions and adjusts frame structure parameters without external intervention. The IP core itself participates in the detection and control process, eliminating the need for complex external control circuits and reducing overall system complexity while maintaining stability.
Data Source
AI summary
An adaptive system is configured for a data flow control of a video image processing system, wherein the adaptive system includes a first component, a second component, and a third component. The first component includes a variable frame structure and a new variable frame structure being activated/deactivated when new signal is added. The second component includes a bit definition of VB-ID (Vertical Blanking Identifier) that identify the new variable frame structure. The third component includes a dynamic switching of the variable frame structure configured to convert a type of the variable frame structure based on a prediction of a frame data and to set a data flow control strategy.