Shake Correction Device Using Angular Velocity and Acceleration Signals
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Solution Overview
Problem
Existing image shake correction technologies face challenges in accurately detecting and correcting parallel shake, especially in photography conditions where multiple rotations are involved, leading to incomplete frequency band correction and potential over-correction in high-frequency bands.
Innovation Solution
A shake correction device that combines first and second parallel shake correction amounts calculated from angular velocity and acceleration signals, using a weighted value approach to reduce noise in both low and high frequency bands, allowing for accurate shake detection across a wide frequency range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If parallel shake is obtained from double integration of acceleration detected by an accelerometer, then parallel shake can be detected, but the output is affected by environmental changes such as disturbing noise or temperature changes, making highly accurate correction difficult
Solution Approach 1:
The patent combines the acceleration signal from the accelerometer with the angular velocity signal from the angular velocimeter through a specific computation process. The computation unit calculates parallel shake correction amounts using both signals together, rather than relying solely on the accelerometer, thereby reducing the impact of environmental noise and temperature changes on the final correction accuracy
Solution Approach 2:
The patent introduces an angular velocimeter as an intermediary device to assist in detecting parallel shake. By using the angular velocity signal as a mediator in the computation process, the system can obtain more stable and accurate parallel shake information without being overly influenced by the instability of the accelerometer alone
2Measurement precision
If parallel shake is corrected by deeming it as angular shake with a rotation radius, then correction can be performed in limited frequency bands, but it is hard to say that shake correction is performed accurately in all frequency bands at all times
Solution Approach 1:
The patent employs a dynamic computation approach where the computation unit adaptively processes the acceleration and angular velocity signals to calculate parallel shake correction amounts. This dynamic computation method allows the system to maintain accurate correction across varying frequency bands and different shaking conditions, rather than being limited to a fixed frequency range
Solution Approach 2:
The patent changes the computational parameters by using both acceleration and angular velocity signals in the computation process. By modifying how the correction amount is calculated - using a combination of signals rather than a single signal type - the system achieves accurate correction across all frequency bands without being restricted to limited ranges
3Measurement precision
If correction is performed using rotation radius of angular shake, then low frequency parallel shake can be corrected accurately, but there is a possibility of excessive correction affecting the effect of correcting image shake at high frequency
Solution Approach 1:
The patent applies a balanced computation approach where the computation unit processes both acceleration and angular velocity signals to determine the appropriate correction amount. This method ensures that correction is applied partially and appropriately across all frequency bands, avoiding excessive correction at high frequencies while maintaining accurate correction at low frequencies
Solution Approach 2:
The system uses feedback from both the accelerometer and angular velocimeter to dynamically adjust the correction amount. By continuously monitoring both signals and using them together in the computation, the system can determine the appropriate level of correction needed at each frequency, preventing over-correction while maintaining accuracy
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 solution enables highly accurate shake correction across a wide frequency band, effectively addressing the limitations of existing methods by combining signals to improve noise reduction and correction accuracy.
Implementation Method 1
an angular velocity detection unit configured to detect shake and output an angular velocity signal
Implementation Method 2
an acceleration detection unit configured to detect shake and output an acceleration signal
Data Source
AI summary
An image pickup apparatus is provided with a shake correction unit that corrects image shake of an image that can arise from shake such as camera shake and a driver thereof. An angular velocimeter detects an angular velocity of shake, and an accelerometer detects acceleration of the shake. A CPU acquires an angular velocity detection signal and an acceleration detection signal, and then computes a first parallel shake amount that is shake in the direction orthogonal to the optical axis of an imaging optical system. A velocity computation unit computes a second parallel shake amount by combining the acceleration detection signal and the first parallel shake amount. The driver drives the shake correction unit based on the second parallel shake amount to correct shake.