Dynamic Image Stabilization Strength Adjustment
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Solution Overview
Problem
Current image stabilization methods, such as electronic and optical image stabilization, often degrade image quality when used in environments with poor lighting or rapid camera movements, leading to motion blurring and worsened image blurring when attempting to suppress motion blurring.
Innovation Solution
An image stabilization control method that adjusts the image stabilization strength based on both attitude information and ambient brightness, using a processor to obtain and process attitude information and device parameters like exposure time and ISO values to optimize image stabilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If electronic image stabilization is enabled to suppress motion blurring, then motion blurring is reduced, but image quality is further degraded
Solution Approach 1:
The patent implements dynamic adjustment of image stabilization strength based on real-time attitude information and device parameters. The stabilization strength is not fixed but varies according to camera vibration conditions and shooting parameters, allowing the system to adaptively balance motion blurring suppression and image quality preservation.
Solution Approach 2:
The system changes the stabilization strength parameter dynamically based on attitude information (acceleration, angular velocity) and device parameters (exposure time, ISO). By adjusting this parameter according to actual shooting conditions, the system resolves the contradiction between suppressing motion blurring and maintaining image quality.
2Illumination intensity
If exposure time is lengthened or ISO is increased to maintain reasonable image brightness in poor lighting, then image brightness is maintained, but captured images are more likely to suffer motion blurring
Solution Approach 1:
The system uses feedback from device parameters (exposure time, ISO) and attitude information to dynamically adjust stabilization strength. When exposure time is lengthened or ISO is increased indicating poor lighting conditions, the system increases stabilization strength to compensate for the heightened motion blurring risk, thus resolving the contradiction between maintaining brightness and preventing motion blurring.
3Reliability
If image stabilization strength is increased to reduce blurring, then image blurring is reduced, but image quality degradation occurs in poor lighting conditions
Solution Approach 1:
The patent implements dynamic adjustment of image stabilization strength based on real-time attitude information and device parameters. The stabilization strength is not fixed but varies according to camera vibration conditions and shooting parameters, allowing the system to adaptively balance motion blurring suppression and image quality preservation.
Solution Approach 2:
The system changes the stabilization strength parameter dynamically based on attitude information (acceleration, angular velocity) and device parameters (exposure time, ISO). By adjusting this parameter according to actual shooting conditions, the system resolves the contradiction between suppressing motion blurring and maintaining image quality.
Data Source
AI summary
An image stabilization control method for a photographing device includes obtaining attitude information of the photographing device and a device parameter of the photographing device, and adjusting an image stabilization strength of the photographing device based on the attitude information and the device parameter. The device parameter indicating a brightness of an environment in which the photographing device is located.