Dynamic Frame Rate Control for Thermal Imaging Motion Blur
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Solution Overview
Problem
Conventional thermal imaging devices face challenges in capturing high-quality images, particularly in low-contrast scenes and those with motion, due to issues like motion blur and inadequate frame rates, which result in low resolution and difficulty in interpreting thermal images.
Innovation Solution
The system dynamically adjusts the frame rate based on image detail, motion, and signal levels by determining measures such as edge detection, image motion, and signal intensity, allowing for adaptive frame rate control to improve thermal image quality in video sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a low frame rate is used to improve image signal level and reduce noise, then image quality in terms of signal-to-noise ratio improves, but motion blur increases and detail representation deteriorates
Solution Approach 1:
The patent implements dynamic frame rate adjustment where the frame rate is continuously adapted based on detected motion levels and image quality metrics. The system transitions from static to dynamic operation, adjusting the frame rate in real-time to match scene conditions, thereby resolving the contradiction between signal level optimization and motion blur prevention
Solution Approach 2:
The system changes the frame rate parameter dynamically based on scene analysis. By monitoring image detail levels, motion detection results, and signal quality metrics, the system adjusts the frame rate parameter to optimize the balance between signal-to-noise ratio and motion blur, applying parameter changes rather than fixed settings
2Object-affected harmful factors
If a high frame rate is used to reduce motion blur and improve detail representation, then motion capture quality improves, but image signal level decreases and noise increases
Solution Approach 1:
The system dynamically adjusts the frame rate parameter based on real-time scene analysis. When motion is detected or image quality metrics indicate need for higher temporal resolution, the frame rate is increased to reduce motion blur, while accepting lower signal levels temporarily. This parameter adaptation resolves the contradiction by making frame rate a variable rather than constant
Solution Approach 2:
The system employs feedback loops where image quality metrics, motion detection results, and signal level measurements are continuously monitored and fed back to adjust the frame rate. This closed-loop control enables the system to respond to changing conditions and maintain optimal balance between motion blur reduction and signal quality
3Ease of operation
If a fixed frame rate is used to simplify system operation, then device complexity is reduced, but adaptability to varying scene conditions deteriorates
Solution Approach 1:
The system performs self-adjustment by automatically analyzing scene conditions and modifying its own frame rate without external intervention. The automatic scene analysis, motion detection, and quality metric evaluation enable the system to self-optimize, eliminating the need for manual configuration while maintaining high adaptability to varying conditions
Solution Approach 2:
The system transitions from static fixed frame rate operation to dynamic adaptive operation. By implementing real-time scene analysis and automatic frame rate adjustment, the system gains versatility to handle diverse conditions while maintaining ease of operation through automation, resolving the contradiction between simplicity and adaptability
Data Source
AI summary
A thermal imaging apparatus and a method of improving image quality in a thermal image video sequence imaging a scene, determining one or more of an image detail level, a degree of image motion and/or an image signal level of one or more captured thermal images; determining, based on one or more of the image detail level, the degree of image motion and/or the image signal level, an adapted frame rate for the capturing of one or more subsequent thermal images for the video sequence; capturing one or more subsequent thermal images at the adapted frame rate to improve the image quality in the video sequence.