Infrared Imaging Offset Correction Without Shutter Interruption
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Solution Overview
Problem
Existing infrared imaging devices face challenges in correcting pixel unevenness caused by temperature changes without interrupting the capture of external environments, as existing methods require shutting down the system or synchronizing multiple devices, which can lead to inappropriate correction results or interruptions in capturing.
Innovation Solution
An infrared imaging device with an optical system, infrared detector, and a correction unit that calculates a representative offset value based on pixel changes due to temperature changes, allowing continuous environmental capture by adjusting the basic correction data to correct for pixel unevenness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If correction data is acquired by blocking external infrared rays using a shutter, then pixel unevenness correction is improved, but capturing of external environment is interrupted
Solution Approach 1:
The patent uses a digital copy (corrected image data) of the external environment instead of physically blocking it. By processing the captured image data to calculate correction values, the system achieves pixel unevenness correction without interrupting the capturing of external infrared rays.
Solution Approach 2:
The patent replaces the mechanical shutter system with a digital signal processing approach. Instead of using a physical shutter to block infrared rays for correction data acquisition, the system uses software-based correction algorithms that process the captured image data to eliminate pixel unevenness.
2Ease of operation
If common correction data is used for multiple time points, then operation simplicity is improved, but correction accuracy deteriorates due to temperature changes
Solution Approach 1:
The patent implements dynamic correction data generation that adapts to changing temperature conditions. By continuously or periodically calculating correction values based on current captured images, the system ensures correction accuracy matches current environmental conditions while maintaining operational simplicity through automated processing.
Solution Approach 2:
The system uses feedback from the captured image data itself to generate correction values. By analyzing the actual pixel values in captured images and calculating correction factors based on observed variations, the system adapts to temperature changes and other environmental factors, maintaining high correction accuracy.
3Measurement precision
If correction processing is performed frequently, then correction accuracy is improved, but processing time increases
Solution Approach 1:
The patent implements periodic correction processing where correction values are calculated at regular intervals or based on specific triggers (such as temperature change thresholds). This approach maintains correction accuracy by updating correction data frequently enough while avoiding continuous processing that would waste computational resources and time.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables continuous correction of pixel unevenness caused by temperature changes without interrupting the capture of external environments, ensuring accurate and consistent infrared imaging.
Implementation Method 1
an infrared detector that detects infrared rays radiated from a subject and converts the detected infrared rays into electric signals
Data Source
AI summary
The infrared imaging device includes an optical system, an infrared detector that captures an infrared image, a correction unit that corrects an infrared image based on basic correction data and outputs a corrected image, and an offset value calculation unit. The offset value calculation unit detects a subject region from the corrected image, calculates a subject value indicating a pixel value of a subject region, and calculates a subject value change amount which is a change amount of a pixel value of the subject region based on the reference subject value and the calculated subject value, and calculates the subject value change amount, as a representative offset value indicating a change amount of each pixel value of a plurality of pixels caused by a temperature change.