Image Stabilization via Dual-Sensor Frequency Segmentation
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Solution Overview
Problem
Existing image capture devices struggle to accurately correct for tilt in images due to static and dynamic rotations, leading to suboptimal image quality.
Innovation Solution
An image capture device equipped with an acceleration sensor and an angular velocity sensor, which generate detection signals used by a processor to calculate and apply correction magnitudes for static and dynamic rotations, effectively rotating the image coordinates to cancel tilt.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only a single sensor is used for tilt detection, then the device complexity is reduced, but the measurement precision of tilt correction is insufficient
Solution Approach 1:
The tilt detection function is segmented into two distinct sensors: an acceleration sensor for detecting static tilt (low frequency) and an angular velocity sensor for detecting dynamic tilt (high frequency). This segmentation allows each sensor to specialize in its optimal frequency range, improving overall measurement precision while maintaining manageable device complexity through clear functional division.
2Measurement precision
If frequency-based separation is applied to combine sensor data, then the measurement precision is improved, but the processing complexity increases
Solution Approach 1:
The signal processing system performs preliminary frequency-based separation of sensor data before combining the results. By pre-filtering the acceleration sensor signal for low-frequency static tilt components and the angular velocity sensor signal for high-frequency dynamic tilt components, the system prepares optimized input data for the final correction calculation, improving precision while managing processing complexity through structured preliminary processing.
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 achieves more accurate rotational correction of images, improving image quality by separating and processing frequency components from both sensors to address static and dynamic rotation effects.
Implementation Method 1
a first sensor configured to detect acceleration of gravity on the image capture device itself and configured to output a result of the detection as a first detection signal
Implementation Method 2
a second sensor configured to detect a variation in the image capture device's own attitude and configured to output a result of the detection as a second detection signal
Data Source
AI summary
An exemplary image capture device 100 includes: an image capturing section 270 configured to generate an image based on a subject image formed; a first sensor 260 configured to detect acceleration of gravity on the device 100 itself to output a first detection signal; a second sensor 250 configured to detect a variation in the device's own attitude to output a second detection signal; and a processor 290 configured to calculate a first magnitude of correction based on a frequency component in the first detection signal, which is equal to or lower than a first frequency, configured to calculate a second magnitude of correction based on a frequency component in the second detection signal, which is equal to or higher than a second frequency, and configured to correct, based on the calculated first and second magnitudes of correction, tilt of at least one of the subject image and the image.