Translational Shake Correction Using Acceleration Vector Thresholding
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Solution Overview
Problem
Existing image blur correction methods for translational shake in imaging apparatuses face challenges in accurately removing gravitational acceleration components from acceleration signals, leading to incomplete image correction and deterioration.
Innovation Solution
An imaging apparatus and method that utilize an acceleration detection unit to detect accelerations in three orthogonal axes, a reference vector generation unit to create a reference vector when the difference between the resultant acceleration vector and gravitational acceleration is within a threshold, and a shake correction unit to correct image blur in two orthogonal axes perpendicular to the optical axis using the reference vector.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If angular velocity from sensors is used to derive gravitational acceleration component, then image blur correction can be performed, but measurement precision deteriorates when sensor displacement errors are accumulated
Solution Approach 1:
The system continuously monitors the difference between the magnitude of the acceleration resultant vector and the magnitude of gravitational acceleration. When the difference falls within a predetermined threshold, the system switches to using the acceleration resultant vector as the gravitational acceleration component, providing feedback-based selection between two measurement methods to maintain precision.
Solution Approach 2:
The invention changes the parameter used for gravitational acceleration estimation based on operational conditions. Instead of relying solely on angular velocity integration, the system switches to using the acceleration resultant vector magnitude when stability conditions are met, thereby changing the measurement parameter to avoid accumulation of sensor errors.
2Manufacturing precision
If gravitational acceleration component is not accurately removed from acceleration signal, then device complexity is reduced, but manufacturing precision deteriorates leading to image deterioration
Solution Approach 1:
The system dynamically adjusts the gravitational acceleration estimation method based on real-time conditions. It switches between using angular velocity-derived gravity and acceleration-resultant-based gravity estimation depending on whether the acceleration magnitude is stable, allowing the system to adapt its complexity level to current operational requirements.
Solution Approach 2:
The system automatically determines which estimation method to use by monitoring the stability of acceleration magnitude itself, without requiring external intervention or complex configuration. The acceleration signal processing system serves itself by using the acceleration data to validate and select the appropriate gravity estimation approach.
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
This approach enables high-accuracy correction of image blur caused by translational shakes, effectively addressing the limitations of previous methods by accurately accounting for gravitational components and improving image quality.
Implementation Method 1
since a gravitational acceleration component is included in the output of the acceleration sensor
Implementation Method 2
An acceleration sensor is used to detect the translational shake of an imaging apparatus
Data Source
AI summary
An imaging apparatus includes: a detection unit that detects accelerations in directions of three orthogonal axes; a generation unit that, in a case in which a difference between the magnitude of a resultant vector of the accelerations in the directions of the three orthogonal axes and the magnitude of the acceleration of gravity is equal to or less than a predetermined threshold value, generates a reference vector using the resultant vector; and a correction unit that corrects an image blur caused by translational shakes in directions of two orthogonal axes perpendicular to at least an optical axis of an imaging optical system, using the reference vector, on the basis of the accelerations in the directions of the three orthogonal axes.