Gyro-Based Shake Correction Circuit for Imaging Devices
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Solution Overview
Problem
Existing shake correction methods in imaging devices, such as digital cameras and smartphones, require significant resources and increased device size due to rapid changes in correction angles, necessitating large frame memories to accurately correct for hand-shake-induced motion.
Innovation Solution
A signal processing device that determines motion type information using a gyro sensor, calculates a correction coefficient, and corrects motion information to synchronize image data, incorporating a blur angle calculation method that integrates angular velocity and adjusts image data based on the corrected angle to minimize blur caused by hand-shake.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If electronic shake correction combines motion information with other sensor data to calculate correction angle, then shake correction accuracy is improved, but device size and manufacturing cost increase due to requirement of frame memory
Solution Approach 1:
The patent extracts only the essential motion information from the gyro sensor and processes it through a simplified correction mechanism. By removing the requirement for frame memory and other complex sensor data fusion, the solution achieves shake correction accuracy without the associated hardware complexity and size increase.
Solution Approach 2:
The patent replaces the traditional mechanical/electronic shake correction system that requires frame memory with a computational approach using correction coefficients. This substitution eliminates the need for large memory resources while maintaining correction accuracy through mathematical processing of motion data.
2Productivity
If correction angle changes rapidly to compensate for hand-shake motion, then shake correction effectiveness is improved, but resource requirements increase due to need for frame memory
Solution Approach 1:
The patent changes the parameter representation from raw correction angles to correction coefficients. This parameter transformation allows the system to maintain effective shake correction while reducing resource requirements, as the coefficients can be processed with minimal memory and computational resources compared to storing and processing rapid angle changes.
3Measurement precision
If frame memory is used to store motion information for shake correction, then correction accuracy is improved, but manufacturing cost increases
Solution Approach 1:
The patent replaces expensive frame memory with a low-cost computational approach using correction coefficients. The system achieves comparable correction accuracy through mathematical processing rather than through costly memory hardware, significantly reducing manufacturing costs while maintaining precision.
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 highly accurate and efficient hand-shake correction with reduced resource requirements, maintaining a small blur angle range and minimizing device size and manufacturing costs while ensuring stable image capture.
Implementation Method 1
a motion determination circuit configured to determine motion type information indicating whether a motion of the imaging device was caused by a hand-shake or was intended by a user based on motion detection information detected by a gyro sensor
Implementation Method 2
The first integration circuit may apply the angular velocity detected by the gyro sensor to the angle corrected in the correction circuit to calculate an angle
Data Source
AI summary
A signal processing device for compensating for shaking of an imaging device is provided. The signal processing device includes a motion determination circuit configured to determine motion type information indicating whether a motion of the image device was caused by a hand-shake or was intended by a user based on motion detection information detected by a gyro sensor, a calculation circuit configured to calculate a correction coefficient based on the motion type information, a correction circuit configured to correct motion information calculated from the motion detection information based on the correction coefficient, and a processor configured to synchronize image data of the image device with the corrected motion information.


