Image Shake Correction Device Using Adaptive Digital Filter
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image shake correction technologies face limitations in accuracy due to deviations in the phase of the output of the shake detection sensor, variations in mechanical characteristics, and temperature fluctuations, which cannot be adequately addressed by simply changing the output gain of the shake detection sensor.
Innovation Solution
An image shake correction device that acquires detection signals for shaking and motion vectors, calculates correction values, and adjusts filter transmittance characteristics to improve image shake correction accuracy through adaptive digital filtering and compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only the output gain of the shake detection sensor is changed, then the sensitivity deviation can be corrected, but the phase deviation and mechanical characteristic variations cannot be compensated
Solution Approach 1:
The invention segments the correction process into multiple independent components: gain correction, phase correction, and mechanical characteristic correction. Each component is handled separately through dedicated calculation units that process different aspects of the shake detection signal, allowing comprehensive correction without interfering with other correction aspects.
Solution Approach 2:
The invention introduces dynamic adaptation by using a motion vector calculation unit that continuously updates correction parameters based on real-time image data. The system dynamically adjusts correction values according to the actual shake conditions and mechanical characteristics, making the correction system adaptable to varying environmental conditions and temperature fluctuations.
2Measurement precision
If a simple gain correction method is used, then the device complexity is low, but the correction accuracy deteriorates due to uncorrected phase and mechanical variations
Solution Approach 1:
The invention achieves multi-functionality by integrating multiple correction capabilities into a unified shake correction device. The correction value calculation unit simultaneously performs gain correction, phase correction, and mechanical characteristic correction through a single integrated processing pipeline, avoiding the need for separate complex correction systems while maintaining comprehensive correction accuracy.
Solution Approach 2:
The invention implements feedback mechanisms where the motion vector calculation unit continuously monitors the shake conditions and feeds this information back to adjust the correction values. This closed-loop feedback system automatically compensates for phase deviations and mechanical variations without requiring manual intervention or complex external control systems.
3Adaptability or versatility
If the shake correction device adapts to different environmental conditions, then the adaptability improves, but the device complexity and processing requirements increase
Solution Approach 1:
The invention enables self-service operation where the shake correction device automatically adapts to environmental conditions without external control. The motion vector calculation unit autonomously detects shake patterns and the correction value calculation unit automatically adjusts correction parameters based on detected conditions, eliminating the need for complex external control systems or manual calibration procedures.
Solution Approach 2:
The invention achieves environmental adaptation through dynamic parameter changes in the correction values. The system modifies correction parameters such as gain, phase offset, and mechanical characteristic coefficients based on detected shake patterns and environmental conditions, allowing the same hardware to adapt to different temperatures and shake conditions without physical reconfiguration.
Data Source
AI summary
An image shake correction device provided in an image pickup apparatus drives an image shake correction lens on the basis of detection information about shaking and corrects the image shake. An angular velocity sensor detects an angular velocity of shaking, and a motion vector detection unit detects a motion vector from a plurality of images that has been captured. An adaptive digital filter and an adaptive algorithm unit perform a process that generates a compensation value for a shake correction remainder, and FF (feed forward) control is performed in accordance with the result of the process. In the FF control, a filter coefficient of the adaptive digital filter is adjusted on the basis of the motion vector and a detection signal for shaking. The control filter calculates a feedback control amount so as to track the position of the image shake correction lens to a target position. An image shake correction lens drive unit performs the drive control of the image shake correction lens in accordance with the output of the control filter.