Image Stabilization Control Apparatus for Parallel Vibration Correction
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Solution Overview
Problem
Conventional image stabilization systems face challenges in accurately correcting parallel vibration-induced image shake, particularly in macro photography, due to noise interference and the need for large mechanical parts, which degrades user operability and accuracy.
Innovation Solution
The system incorporates accelerometers to detect parallel vibration, in conjunction with angular velocity sensors, and employs signal processing techniques like high-pass filtering and integration to improve correction accuracy and reduce noise interference, allowing for a compact and high-accuracy image stabilization control apparatus.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If accelerometers are used to detect parallel vibration, then parallel vibration detection capability is improved, but measurement precision deteriorates due to disturbance noise and environmental variation
Solution Approach 1:
The system uses feedback control by comparing the accelerometer output with the angular velocity meter output and adjusting the parallel vibration correction amount based on their correlation. This feedback mechanism allows the system to distinguish actual parallel vibration from noise by continuously monitoring and adjusting according to the relationship between acceleration and angular velocity signals.
Solution Approach 2:
The system changes the correction amount parameter dynamically based on imaging magnification. When imaging magnification exceeds a predetermined threshold, the system activates parallel vibration correction with adjusted correction amounts. This parameter change approach allows the system to adapt correction strength to actual vibration conditions and reduce over-correction of noise.
2Measurement precision
If variable vibration correction amount is implemented, then image shake correction accuracy is improved, but device complexity increases due to additional mechanical parts
Solution Approach 1:
The system implements dynamic correction amount adjustment through electronic control rather than mechanical changes. The driving unit receives control signals that vary the correction amount based on detected vibration characteristics and imaging conditions. This dynamic approach achieves variable correction without additional mechanical complexity by using electronic signal processing and controlled actuation.
Solution Approach 2:
The system changes the correction amount parameter based on imaging magnification and vibration detection results. When imaging magnification is high, the system increases parallel vibration correction amount; when low, it reduces or eliminates it. This parameter-based control achieves accurate variable correction without complex mechanical structures by modifying control signal characteristics.
3Measurement precision
If parallel vibration detection is added for macro photography, then correction accuracy for close-up shots is improved, but device complexity increases due to additional sensors and signal processing
Solution Approach 1:
The system makes the existing accelerometer serve multiple functions: it detects both angular vibration components and parallel vibration components. By processing the accelerometer output in different ways (directly for parallel vibration, or in combination with angular velocity meter for angular vibration), the system achieves multi-functionality without adding dedicated sensors for each vibration type, thus reducing overall device complexity.
Solution Approach 2:
The system merges the processing of accelerometer output with angular velocity meter output to achieve both angular and parallel vibration correction. By combining signal processing paths and sharing computational resources, the system reduces the complexity burden of adding parallel vibration detection capability while maintaining comprehensive vibration correction performance.
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
This approach enables precise correction of both angular and parallel vibrations, enhancing image quality and user operability by reducing noise interference and mechanical complexity.
Implementation Method 1
an accelerometer configured to detect acceleration is provided to detect parallel vibration
Implementation Method 2
a conventional camera includes an angular velocity meter only to detect vibration
Data Source
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AI summary
An image stabilization control apparatus including a mechanism which causes a vibration when the mechanism moves is disclosed. The apparatus comprises a vibration correction unit configured to correct image shake occurring due to vibration applied to the image stabilization control apparatus. A correction value of an angular velocity of the vibration is calculated based on signals based on the angular velocity and an acceleration of the vibration, frequency bands of the signals are narrowed. During the mechanism is moving, the image shake is corrected by driving the vibration correction unit based on the angular velocity of the vibration which is corrected by the corrected value calculated before the mechanism moves.