OIS Motion Estimation via Frequency Pass Filter
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Solution Overview
Problem
Existing image stabilization systems in electronic devices often overcompensate for camera shake due to discrepancies between OIS motion data and gyro data, leading to inaccurate digital image stabilization corrections.
Innovation Solution
An electronic device with a camera module, motion sensor, and processor that estimates OIS motion data using attribute information and a frequency pass filter, allowing for more precise digital image stabilization corrections by combining OIS and DIS corrections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If DIS correction is performed based only on gyro data or image motion without considering OIS motion, then the correction process is simple, but the image becomes overcompensated and measurement precision deteriorates
Solution Approach 1:
A frequency pass filter is introduced as an intermediary component to process gyro data and extract OIS motion information. The filter acts as a mediator between the raw gyro data and the DIS correction algorithm, separating OIS-related frequency components from other motion signals, thereby enabling accurate OIS motion estimation without direct access to OIS actuator data.
Solution Approach 2:
The patent replaces direct mechanical measurement of OIS lens/sensor position with a signal processing approach. Instead of using physical sensors to measure OIS motion directly, the system substitutes mechanical measurement with electronic signal filtering and processing of gyro data to estimate OIS motion, achieving the same functional result through a different physical domain.
2Measurement precision
If both OIS correction and DIS correction are performed, then image stabilization accuracy is improved, but the device complexity increases due to need for OIS motion estimation
Solution Approach 1:
The frequency pass filter is designed to serve multiple functions: it filters gyro data to extract OIS motion information, separates different frequency components of device motion, and provides estimated OIS motion data to the DIS correction algorithm. This multi-functionality reduces the need for separate dedicated components for each function.
Solution Approach 2:
The system changes the parameter representation of OIS motion from direct physical measurement to frequency-domain signal characteristics. By transforming the problem from spatial measurement to frequency analysis, the system can extract OIS motion information from existing gyro data without adding physical measurement sensors, thereby managing complexity.
Data Source
AI summary
An electronic device is disclosed. Moreover, various embodiment found through the disclosure are possible. The electronic device may include a camera module including an optical image stabilizer, a motion sensor, a processor electrically connected to the camera module and the motion sensor. The processor may be configured to obtain first motion information corresponding to shaking of the electronic device through the motion sensor, while at least partially obtaining an image frame, determine second motion information, which corresponds to motion of a lens or an image sensor included in the camera module, from the first motion information, using attribute information and a frequency pass filter of the optical image stabilizer, and perform digital image correction, based on the first motion information and the second motion information.