Image Stabilization via Acceleration and Angular Velocity Sensor Fusion
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Solution Overview
Problem
Existing image capture devices struggle to effectively correct for tilt and rotational shake in captured images, leading to unstable and uncomfortable viewing experiences, especially when used in non-horizontal orientations.
Innovation Solution
An image capture device equipped with an acceleration sensor to detect tilt relative to gravity and an angular velocity sensor to detect camera shake, a controller to calculate correction angles, and an image processing section to rotate and crop images accordingly, prioritizing either tilt or rotational shake correction based on the shooting situation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only acceleration sensor is used to detect tilt, then device complexity is reduced, but tilt correction precision is insufficient when device is not held horizontally
Solution Approach 1:
The patent combines acceleration sensor and angular velocity sensor into a unified detection system. The acceleration sensor detects tilt relative to gravity while the angular velocity sensor detects rotational movement, and their data are fused through a controller to calculate comprehensive correction angles, achieving high-precision tilt correction regardless of device orientation.
Solution Approach 2:
The controller acts as an intermediary that processes data from both sensors. It calculates a first correction angle based on acceleration sensor data and a second correction angle based on angular velocity sensor data, then combines them to produce the final image rotation angle, mediating between the two sensor inputs and the image processing output.
2Stability of the object's composition
If both tilt correction and rotational shake correction are applied, then image stability is improved, but processing time increases
Solution Approach 1:
The system performs preliminary detection of device orientation and movement using the sensors before image capture. The correction angles are calculated in advance based on sensor data, allowing the image processing section to apply corrections efficiently during or after capture without significant time delay, as the correction parameters are prepared beforehand.
Solution Approach 2:
The patent dynamically adjusts the correction process based on detected movement characteristics. When significant rotational shake is detected via the angular velocity sensor, the system prioritizes and enhances rotational correction. When tilt is the primary issue, it focuses on tilt correction, making the processing adaptive and efficient rather than applying all corrections uniformly regardless of actual conditions.
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 device provides improved stability and comfort in recording and viewing images by effectively correcting for tilt and rotational shake, ensuring that images are captured and displayed with reduced distortion and instability, even when the device is not held horizontally.
Implementation Method 1
an acceleration sensor configured to detect acceleration
Implementation Method 2
an angular velocity sensor configured to detect angular velocity
Implementation Method 3
an image processing section configured to rotate the generated image based on an angle obtained by adding together the first and second correction angles
Data Source
AI summary
An image capture device includes: an image capturing section which captures a subject image and generates an image; an acceleration sensor which detects acceleration; an angular velocity sensor which detects angular velocity; a controller which determines, according to a result of detection obtained by the angular velocity sensor, a first correction angle that is based on a result of detection obtained by the acceleration sensor and a second correction angle that is based on a result of detection obtained by the angular velocity sensor; and an image processing section which rotates the generated image based on an angle obtained by adding together the first and second correction angles.