Endoscope Image Quality Control via Optical Axis Angle Compensation
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Solution Overview
Problem
Variable-field-of-view endoscopic devices experience image quality degradation due to changes in optical properties, leading to blurred and distorted images.
Innovation Solution
A control device with an image quality control unit that adjusts image quality based on optical axis angle information, using compensation data generated from chart images to correct blur, distortion, and luminance non-uniformity, and an angle control unit to adjust the light source angle, thereby reducing image degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the optical axis direction is made variable to enable wide-viewing-angle imaging, then the viewing angle is improved, but image quality degrades due to changes in optical path
Solution Approach 1:
The system pre-calculates and stores compensation values for blur, distortion, and luminance non-uniformity at multiple optical axis angles before actual imaging. When the optical axis angle changes, the corresponding compensation values are retrieved and applied to correct the image quality degradation, rather than attempting real-time correction during imaging
Solution Approach 2:
The system changes the parameter of optical axis angle to enable variable viewing angles, and simultaneously changes the compensation parameters (blur compensation value, distortion compensation value, luminance compensation value) according to the optical axis angle to maintain image quality. The control device adjusts these compensation parameters dynamically based on the detected optical axis angle
2Ease of operation
If the optical axis angle changes to capture images from different directions, then the imaging flexibility is improved, but optical properties degrade causing blur and distortion
Solution Approach 1:
The system uses a gyro sensor to detect the actual optical axis angle in real-time and feeds this information back to the control device. Based on this feedback, the control device selects appropriate compensation values from pre-calculated data and applies them to correct blur, distortion, and luminance non-uniformity, creating a closed-loop control system that maintains image quality across different imaging angles
Solution Approach 2:
The system replaces mechanical optical adjustments with computational correction methods. Instead of mechanically adjusting optical components to maintain image quality when the angle changes, the system uses image processing techniques (blur compensation, distortion compensation, luminance compensation) to correct the degradation digitally
3Area of stationary object
If the optical path is changed to vary the field of view, then the field-of-view range is improved, but luminance non-uniformity increases
Solution Approach 1:
The system pre-calculates luminance compensation values for multiple optical axis angles and stores them in advance. When imaging at a specific angle, the corresponding luminance compensation value is retrieved and applied to correct the non-uniformity, rather than attempting real-time measurement and correction during imaging
Data Source
AI summary
A control device includes an image quality control unit configured to control image quality of an image for display on a basis of optical axis angle information with reference to a scope axis of an endoscope and an image signal acquired by an image sensor. The optical axis angle information is information detected by information obtained by acquiring light source angle information controlled by an imaging device.