Blur Correction Using Rotational Acceleration Subtraction
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Solution Overview
Problem
Existing image blur correction technologies fail to accurately correct blurs caused by translational motion in imaging apparatuses when the rotation center position changes, as they assume a constant rotation center, which is not always the case in real-world scenarios.
Innovation Solution
An image blur correction device and method that utilize acceleration and angular velocity sensors to detect and subtract rotational acceleration components from acceleration data, selecting the appropriate rotation axis based on the usage state of the imaging apparatus to accurately correct blurs in both directions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the rotation center position is determined in advance as constant, then the calculation of translational acceleration is simplified, but the accuracy of blur correction deteriorates when the rotation center actually changes
Solution Approach 1:
The patent applies the dynamics principle by making the rotation center position variable rather than fixed. The rotation center coordinates (rx, ry) are dynamically adjusted based on the detected angular velocity and acceleration data. This allows the system to adapt to changing rotation centers during imaging, improving blur correction accuracy without requiring overly complex predetermined models for each possible rotation center position.
Solution Approach 2:
The patent changes the parameters of the rotation center position (rx, ry) based on detected motion characteristics. By calculating rotational acceleration components using the formula that incorporates angular velocity (ω) and the distance from the rotation center to the acceleration sensor, the system dynamically adjusts the effective rotation center position to match actual imaging conditions, thereby maintaining high correction accuracy across varying usage scenarios.
2Device complexity
If acceleration sensor data is used directly for blur correction, then the correction process is simple, but rotational acceleration components cause incorrect correction when rotation occurs
Solution Approach 1:
The patent extracts the rotational acceleration component from the total acceleration data detected by the acceleration sensor. By calculating the rotational acceleration as (ω × v) where ω is angular velocity and v is the distance from the rotation center, the system separates the rotational component from the translational component. This extracted rotational component is then subtracted from the original acceleration data to obtain pure translational acceleration for accurate blur correction.
Solution Approach 2:
The patent performs preliminary calculation of rotational acceleration components before applying the final blur correction. By pre-calculating the rotational acceleration using angular velocity sensor data and the known distance from the rotation center, the system prepares the corrected acceleration data in advance, ensuring that only the relevant translational components are used in the subsequent blur correction process.
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
Enables high-accuracy correction of blurs caused by translational motion by accurately calculating and subtracting rotational acceleration components, effectively addressing the variability in rotation center positions during image capture.
Implementation Method 1
an acceleration sensor that detects accelerations in two directions which are orthogonal to an optical axis of the imaging optical system
Implementation Method 2
an angular velocity sensor that detects an angular velocity of the imaging apparatus around a rotation axis parallel to the optical axis
Data Source
AI summary
An image blur correction device is configured to correct a blur of an imaging apparatus that includes an image sensor that images a subject through an imaging optical system. An image blur correction device includes an acceleration sensor that detects accelerations in two directions, an angular velocity sensor that detects an angular velocity of the imaging apparatus around a rotation axis parallel to the optical axis, a rotational acceleration component calculator that calculates rotational acceleration components which are generated by rotation of the imaging apparatus around the rotation axis based on an output of the angular velocity sensor, and a blur corrector that corrects blurs of the imaging apparatus based on the rotational acceleration components and the accelerations. The blur corrector corrects the blurs based on a member of the imaging apparatus that is used for an imaging of the imaging apparatus.


