Imaging Device Motion Blur Correction via Vehicle Vibration Subtraction
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Solution Overview
Problem
Existing image blur correction techniques fail to accurately distinguish between camera shake and vehicle vibration during image capture, leading to overcorrection and image blur in subjects within a moving vehicle.
Innovation Solution
An imaging device with a motion information acquisition unit for both the device and external vehicle, a shake information generation unit that subtracts external motion from internal motion, and a control unit to drive image blur correction members, ensuring accurate image blur correction by isolating camera shake from vehicle motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image blur correction is performed using motion information from a shake detection sensor during vehicle operation, then camera shake is corrected, but image blur is reversely generated in subjects within the vehicle due to vehicle vibration correction
Solution Approach 1:
The motion information from the shake detection sensor is segmented into two distinct components: vehicle vibration (common motion) and camera shake (relative motion). This is achieved by detecting motion of the entire vehicle body and separating it from the specific camera holder motion, allowing selective correction of only the camera shake component while preserving the vehicle vibration component for subjects within the vehicle.
Solution Approach 2:
The vehicle vibration component is extracted and removed from the total motion information detected by the shake detection sensor. By isolating and eliminating the common vehicle motion component, the system processes only the relative camera shake motion for image blur correction, preventing the reverse blur effect on subjects within the vehicle.
2Measurement precision
If motion information from both shake detection sensor and image motion vector are used, then comprehensive motion detection is achieved, but high-frequency motion components exceeding frame rate cannot be detected
Solution Approach 1:
The system merges two motion detection approaches: the shake detection sensor (gyro sensor) that captures high-frequency motion components including those exceeding frame rate, and the image motion vector method that provides comprehensive spatial motion information. By combining these complementary methods, the system achieves both high-frequency detection capability and comprehensive motion understanding.
Solution Approach 2:
The shake detection sensor acts as an intermediary that bridges the gap between high-frequency motion detection and frame-rate limited image analysis. It captures motion information at a higher temporal resolution than the image frame rate, filling the information gap for high-frequency components that would otherwise be lost.
Data Source
AI summary
In an imaging device, a first motion information acquisition unit acquires motion information of the imaging device, and a second motion information acquisition unit acquires motion information of an external device. A shake information generation unit performs a process of subtracting the motion information of the external device from the motion information of the imaging device on the basis of the acquired motion information of the imaging device and the external device. Image blur correction information is generated from the subtracted motion information. An image blur correction control unit performs driving control of a correction lens of an optical system and a movement mechanism unit of an imaging element in accordance with the image blur correction information from the shake information generation unit.