Image Stabilization Control Using Frequency-Band Signal Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image stabilization systems face challenges in accurately correcting parallel vibration-induced image shake, particularly at close object distances or high focal lengths, due to noise interference and variable environmental conditions, leading to degraded user operability and the need for large vibration correction mechanisms.
Innovation Solution
An image stabilization control apparatus with a vibration correction unit, angular velocity and acceleration detection units, and signal extraction and correction mechanisms that filter out noise and environmental variations, allowing for precise correction of image shake by extracting signals within specific frequency bands and adjusting the vibration correction sensitivity based on zooming and focusing information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If an acceleration meter is used to detect parallel vibration, then parallel vibration detection capability is improved, but measurement precision deteriorates due to disturbance noises and environmental variation
Solution Approach 1:
The patent introduces an angular velocity meter as an intermediary device to indirectly detect parallel vibration through angular velocity changes. Instead of directly measuring acceleration with a noisy acceleration meter, the system uses the angular velocity meter's output, which is less susceptible to environmental interference, to infer parallel vibration components by analyzing frequency characteristics of the angular velocity signal.
Solution Approach 2:
The patent replaces the direct mechanical acceleration measurement system with an angular velocity measurement system. By substituting the acceleration meter with an angular velocity meter and using signal processing to extract parallel vibration information from angular velocity data, the system achieves more reliable measurements that are less affected by environmental variations and noise.
2Reliability
If a large vibration correction unit is used to correct image shake, then correction effectiveness is improved, but device complexity and size increase
Solution Approach 1:
The patent implements dynamic adjustment of the vibration correction amount based on detected shooting conditions. The system varies the correction strength according to the magnitude of detected parallel vibration and imaging magnification, using stronger correction when needed and weaker correction when not necessary, thereby optimizing the balance between correction effectiveness and mechanism size requirements.
Solution Approach 2:
The patent changes the correction parameter (vibration correction amount) dynamically based on detected conditions. By adjusting the correction magnitude according to the detected parallel vibration level and shooting mode, the system achieves effective image stabilization without requiring a permanently large correction mechanism, as the correction strength adapts to actual needs.
3Measurement precision
If vibration correction amount is continuously adjusted, then correction accuracy is improved, but ease of operation deteriorates due to long setting time
Solution Approach 1:
The patent performs preliminary detection and analysis of vibration characteristics before executing the correction. The system pre-processes the angular velocity signal to extract frequency components and determine parallel vibration presence, so that when correction is needed, the appropriate correction amount is already determined, reducing the perceived response time and maintaining ease of operation.
Solution Approach 2:
The patent implements a feedback mechanism where the detected angular velocity signal is continuously analyzed and used to adjust the vibration correction in real-time. The system monitors the effectiveness of correction and dynamically adjusts parameters based on ongoing detection, achieving high accuracy without requiring manual intervention or long setup times, as the system self-adjusts based on feedback from the detection units.
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 achieves high-accuracy correction of image shake due to parallel vibration, improving user operability and reducing the size requirements of the vibration correction unit, while maintaining effective image stabilization across varying shooting conditions.
Implementation Method 1
a first vibration detection unit (angular velocity meter) configured to detect and output an angular velocity of the vibration
Implementation Method 2
a second vibration detection unit (acceleration meter) configured to detect and output an acceleration of the vibration
Implementation Method 3
a band-pass filter configured to extract a signal within a frequency band narrower than a frequency band of vibration occurring due to hand shake
Data Source
AI summary
An image stabilization control apparatus includes a vibration correction unit configured to correct an image shake occurring due to vibration, a first vibration detection unit configured to detect and output an angular velocity of the vibration, a second vibration detection unit configured to detect and output an acceleration of the vibration, a first extractor configured to extract a signal in a predetermined frequency band based on an output of the first vibration detection unit, a second extractor configured to extract a signal in a predetermined frequency band based on an output of the second vibration detection unit, an output correction unit configured to correct the output of the first vibration detection unit based on the signals extracted by the first and second extractors, and a driving unit configured to drive the vibration correction unit based on the output of the first vibration detection unit as corrected.