Image Shake Correction Filter Dynamics for Macro Photography
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Solution Overview
Problem
Existing image shake correction technologies face challenges in accurately correcting translational shake during macrophotography, particularly due to environmental noise and limited movable range of correcting members, leading to instability and excessive correction in low-frequency ranges.
Innovation Solution
An image shake correcting apparatus that includes a shake detecting unit, calculating unit, and correcting unit, which calculates image shake correction amounts by considering imaging magnification and adjusting the frequency range of the correction filter to enhance accuracy and prevent excessive correction, using a combination of angular velocity and acceleration data to accurately detect and correct both angular and translational shakes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the frequency range of the correction filter is expanded to include low-frequency components, then shake correction performance is improved, but the correcting member reaches the limit of movable range
Solution Approach 1:
The patent applies dynamics by making the cutoff frequency of the correction filter variable rather than fixed. The cutoff frequency is dynamically adjusted based on the detected shake frequency and imaging magnification. When shake frequency is low (1 Hz or less), the cutoff frequency is set higher to prevent excessive correction. When shake frequency is higher, the cutoff frequency is lowered to include more correction components. This dynamic adjustment allows the system to achieve effective shake correction across different frequency ranges without exceeding the correcting member's movable range limits.
2Device complexity
If translational shake correction is performed using a predetermined rotation radius, then correction is simplified, but accurate correction in low-frequency range becomes difficult
Solution Approach 1:
The patent applies parameter changes by making the rotation radius variable based on imaging magnification rather than using a predetermined fixed value. The rotation radius is calculated and adjusted according to the current imaging magnification level. This allows the system to accurately convert angular shake to translational shake across different magnification ranges, particularly improving accuracy in low-frequency ranges where the subject is closer to the camera. The parameter change approach maintains computational simplicity while significantly improving correction accuracy.
3Measurement precision
If acceleration meter output is used for translational shake detection, then translational shake can be detected, but environmental noise and temperature variation increase instability
Solution Approach 1:
The patent applies feedback by using the detected shake frequency information to dynamically adjust the correction filter characteristics. The system continuously monitors the shake frequency and uses this feedback to optimize the cutoff frequency and rotation radius parameters. This closed-loop approach allows the system to adapt to changing conditions and maintain stable, accurate correction despite environmental noise and temperature variations affecting the acceleration meter output.
4Reliability
If cutoff frequency is set low to broaden frequency range, then low-frequency shake correction is improved, but excessive correction occurs in low-frequency range
Solution Approach 1:
The patent applies dynamics by making the cutoff frequency variable rather than fixed at a low value. The cutoff frequency is dynamically determined based on the relationship between shake frequency and imaging magnification. When the subject is close to the camera (low frequency range), the cutoff frequency is set higher to prevent excessive correction. When the subject is farther away, the cutoff frequency is lowered to improve low-frequency correction performance. This dynamic parameter adjustment optimizes correction accuracy across all frequency ranges while preventing excessive correction.
Data Source
AI summary
An image shake correcting apparatus in which a first calculating unit calculates a correction coefficient using information corresponding to an angular velocity from a first shake detecting unit and information corresponding to an acceleration output from a second shake detecting unit. A second calculating unit calculates a translational shake correction amount using the correction coefficient and the information corresponding to the angular velocity from the first shake detecting unit. A control unit controls (i) a shake correcting unit that corrects a translational shake according to a third calculating unit that calculates an imaging magnification of an imaging optical system, (ii) a filter selecting a frequency band in which the translational shake correction is performed, and (iii) the translational shake correction amount in the translational shake correction frequency range selected by the filter.