Moving-Body Imaging Blur Correction Using Subject-Distance Feedback
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Solution Overview
Problem
Existing imaging systems on moving bodies face challenges in maintaining accurate blur correction due to varying distances between the imaging device and the object, leading to deteriorated image quality during movement.
Innovation Solution
An imaging system with a blur correction device that adjusts the blur correction amount based on the subject distance to the object, using a mirror mechanism to pivot and correct optical path during image capture, and an image processor to calculate pixel movement and update subject distance, ensuring accurate blur correction even during movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If blur correction is performed using a fixed blur correction amount, then the blur correction device is simple to operate, but the image quality deteriorates when the subject distance changes during movement
Solution Approach 1:
The blur correction amount is made dynamic by automatically adjusting it based on the detected subject distance. The system continuously monitors the distance between the imaging device and the object, and modifies the blur correction amount in real-time to maintain optimal image quality throughout the movement sequence.
Solution Approach 2:
The system implements feedback by detecting the subject distance from captured images and using this information to adjust the blur correction amount for subsequent images. This closed-loop control ensures that the blur correction remains accurate even as the subject distance changes during movement.
2Measurement precision
If the subject distance is continuously monitored and blur correction amount is dynamically adjusted, then image quality is maintained, but the device complexity increases
Solution Approach 1:
The system performs self-service by automatically detecting the subject distance from the captured images themselves and autonomously adjusting the blur correction amount without requiring external intervention or complex additional sensors. The imaging device uses its own captured data to refine the blur correction parameters.
Solution Approach 2:
The imaging device serves multiple functions: it captures images for inspection purposes, detects the subject distance from these same images, and provides blur correction based on the detected distance. This multi-functionality reduces the need for separate dedicated components for each function.
3Productivity
If images are captured during movement of the moving body, then inspection efficiency is improved, but blur occurs in the captured images
Solution Approach 1:
The system applies preliminary anti-action by pre-calculating and applying blur correction based on the detected subject distance before the blur fully degrades the image quality. The blur correction amount is set in advance based on distance detection, counteracting the expected blur from movement.
Solution Approach 2:
The system changes the blur correction parameter dynamically based on the subject distance. By adjusting this parameter according to the detected distance, the system maintains image clarity throughout the movement sequence, allowing efficient moving inspections without sacrificing image quality.
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
The system effectively suppresses blur deterioration by dynamically adjusting blur correction based on changing distances, improving image clarity and accuracy while the moving body is in motion.
Implementation Method 1
Blur is reduced by irradiating light onto an object to be imaged and causing light reflected on the object to be imaged to reflect on a mirror pivoting during predefined exposure time and fall on a camera.
Data Source
AI summary
An imaging system located on a moving body, includes an imaging device, a blur correction device, and an image processor. Based on a subject distance from the imaging device to the object to be imaged, the blur correction device sets a blur correction amount of blur in a movement direction caused when the imaging device captures images during movement of the moving body. The blur correction device corrects blur during image capturing by use of the set blur correction amount. The image processor calculates a pixel movement amount of a feature portion common to a first image and a second image. Based on the pixel movement amount and the movement amount of the moving body, the blur correction device calculates a third distance as the subject distance.