Image Capture Device Variable Refresh Rate Signal Processing
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Solution Overview
Problem
Existing image capture devices struggle to process Variable Refresh Rate (VRR) signals, leading to image defects and uneven displays due to the need to discard or fill in frames.
Innovation Solution
The image capture device employs an image processing method that determines whether the input signal is a VRR signal, generating corresponding time stamps for dynamic or fixed frame intervals, and converting image frames into output packets integrated with these time stamps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional image capture devices process VRR signals using fixed refresh rate settings, then the device structure remains simple, but image quality deteriorates due to dropped or filled frames
Solution Approach 1:
The patent implements dynamic frame interval processing by detecting whether input signals are VRR signals and adjusting the frame processing interval accordingly. The system dynamically switches between fixed frame interval processing for non-VRR signals and variable frame interval processing for VRR signals, allowing the device to adapt to different signal types without requiring complete redesign of the processing architecture.
Solution Approach 2:
The system changes the frame interval parameter based on the detected signal type. For VRR signals, it uses variable frame intervals corresponding to dynamic refresh rates, while for fixed refresh rate signals, it uses constant frame intervals. This parameter adaptation enables the device to maintain image quality across different signal types while managing processing complexity through intelligent parameter selection.
2Adaptability or versatility
If the image capture device discards excess frames or fills in missing frames according to fixed refresh rate settings, then the output signal has a fixed refresh rate, but the purpose of VRR technology is defeated and display becomes uneven
Solution Approach 1:
The patent incorporates feedback mechanisms where the system continuously monitors the input signal characteristics to detect VRR signals. Based on this feedback, it adjusts the frame processing strategy in real-time, either discarding excess frames, filling in missing frames, or passing frames through with dynamic intervals. This feedback-driven approach ensures display uniformity while maintaining VRR processing capability.
Solution Approach 2:
The system performs preliminary detection of VRR signal characteristics before processing the image frames. By identifying VRR signals in advance through detection of variable refresh rate parameters, the system can prepare appropriate processing strategies beforehand, such as setting up dynamic frame interval handling or preparing frame insertion/deletion mechanisms, thereby ensuring reliable and uniform display output.
3Manufacturing precision
If the image capture device processes VRR signals with dynamic frame intervals, then image smoothness and resolution are maintained, but power consumption and hardware requirements increase
Solution Approach 1:
The patent applies partial processing by only implementing VRR-specific processing when VRR signals are detected. For fixed refresh rate signals, the system uses simpler fixed frame interval processing. This partial application of complex processing only where necessary maintains image smoothness for VRR content while avoiding unnecessary power consumption and hardware strain during standard operation.
Solution Approach 2:
The system changes processing parameters dynamically based on signal type detection. When VRR signals are detected, it switches to variable frame interval processing with appropriate time stamping and frame handling. When fixed refresh rate signals are detected, it uses constant frame interval processing. This parameter adaptation maintains image smoothness for VRR content while minimizing power consumption by avoiding continuous complex processing.
Data Source
AI summary
The invention provides an image capture device and an image processing method thereof. The image processing method includes the following steps. First, an image signal source is received by a receiving unit, wherein the image signal source has a plurality of image frames and plurality corresponding image information or plurality of corresponding variable refresh rate (VRR) related information. Next, it is determined whether the image signal source is a VRR signal, and a determination result is generated. A time stamp of each image frame is calculated according to the VRR-related information if the determination result is positive, wherein the time stamps correspond to a dynamic frame interval respectively. Next, the image frames are respectively converted into a corresponding output packet. Finally, the output packets are respectively integrated with their respective time stamps to generate a dynamic frame interval output packet.