Image Stabilization Gain Calibration Using Blur-Degree Linearity
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Solution Overview
Problem
Existing image stabilization methods in electronic devices are inefficient due to the need for time-consuming traditional calibration processes that test multiple gyro gains to find optimal values, which are not universally optimal due to assembly tolerances and component variations.
Innovation Solution
A gain calibration method that uses a linear relationship between blur degrees of images captured with different gains to determine a calibrated gain for image stabilization, reducing the number of gains that need to be tested.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a traditional global search method is used to calibrate gyro gain by testing multiple gains one by one, then the optimal gyro gain can be found to provide optimal image stabilization effect, but the calibration process becomes time-consuming and inefficient
Solution Approach 1:
The patent changes the calibration approach from testing multiple discrete gyro gain values to using a mathematical model that directly calculates the optimal gain based on blur degree parameters. By establishing a linear relationship between blur degrees at different gains, the system transforms the calibration problem from a search process to a calculation process, significantly reducing calibration time while maintaining accuracy
Solution Approach 2:
The patent replaces the mechanical trial-and-error calibration process with a mathematical computation system. Instead of physically testing multiple gain values and manually selecting the best one, the system uses a calculated model based on blur degree measurements to directly determine the optimal gyro gain, substituting computational mathematics for iterative mechanical adjustment
2Ease of manufacture
If preset gyro gains provided by camera module manufacturers are used, then the calibration process is simplified, but the image stabilization effect is not optimal due to assembly tolerances, mechanical stress, or component characteristic differences
Solution Approach 1:
The patent enables the electronic device to automatically calibrate its own gyro gain using the linear relationship model and blur degree measurements. The system performs self-calibration by capturing images at different gains, calculating blur degrees, and determining the optimal gain through the established mathematical relationship, eliminating the need for manual factory calibration while achieving device-specific optimization
Solution Approach 2:
The patent applies local quality optimization by determining gyro gain values specific to each individual device based on its unique characteristics. Instead of using a universal preset gain that must accommodate all devices, the system calculates a customized optimal gain for each device based on its specific assembly tolerances, mechanical stress conditions, and component characteristics, thereby achieving optimal image stabilization for each local instance
Data Source
AI summary
The invention provides an electronic device and a gain calibration method for an image stabilization function thereof. The method includes the following. The image stabilization function is activated. A first image is generated by using a first gain through an image capturing device, and a first blur degree of the first image is obtained. A second image is generated by using a second gain through the image capturing device, and a second blur degree of the second image is obtained. A reference blur degree corresponding to the second gain is determined according to the second blur degree. A calibrated gain for the image stabilization function is determined according to a linear relationship established between the first blur degree corresponding to the first gain and the reference blur degree corresponding to the second gain.