Camera Shake Correction Using Shutter Type Detection
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Solution Overview
Problem
Existing camera systems with image stabilization struggle to accurately correct image blur caused by camera shake, particularly at frequencies around 100 Hz, leading to delayed correction and increased image blur due to the limitations of shake sensors and correction systems.
Innovation Solution
A camera system that determines whether a mechanical or electronic shutter is used and adjusts correction data accordingly, preventing erroneous corrections and effectively reducing image blur by modifying the shake correction data based on the type of shutter employed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If correction data is added to shake sensor output to correct for mechanical shutter vibration, then image blur correction is improved for mechanical shutters, but erroneous correction and increased image blur occurs when electronic shutters are used
Solution Approach 1:
The system dynamically changes the correction data based on the shutter type detected. When an electronic shutter is detected, the correction data is changed to prevent erroneous correction, whereas when a mechanical shutter is detected, the original correction data is used to correct vibration. This dynamic adaptation resolves the contradiction by making the correction system reliable for both shutter types.
Solution Approach 2:
The invention changes the correction data parameter based on the shutter type. The shake sensor output and correction data are modified according to whether a mechanical or electronic shutter is used. This parameter change ensures accurate correction for mechanical shutters while preventing erroneous correction for electronic shutters, thereby resolving the reliability issue.
2Stability of the object's composition
If shake correction is applied to all shutter types, then image stabilization is maintained, but unnecessary corrections increase image blur for electronic shutters
Solution Approach 1:
The invention extracts the harmful correction data when an electronic shutter is detected. By changing the correction data to a state that prevents erroneous correction, the system removes the harmful factor of unnecessary correction while maintaining image stability through appropriate stabilization for the electronic shutter type.
Solution Approach 2:
The system uses feedback from shutter type detection to control the correction process. The correction data is adjusted based on feedback about whether a mechanical or electronic shutter is in use, ensuring that correction is applied only when beneficial and preventing harmful erroneous corrections, thus maintaining image stability without introducing harmful factors.
3Measurement precision
If correction data is modified based on shutter type, then correction accuracy is improved, but system complexity increases due to additional detection and data management requirements
Solution Approach 1:
The camera body automatically detects the shutter type and self-adjusts the correction data without requiring external intervention or complex manual configuration. This self-service approach improves correction accuracy while minimizing system complexity by using built-in detection capabilities and automatic data adjustment.
Solution Approach 2:
The invention creates a universal correction system that handles both mechanical and electronic shutters through a single multi-functional mechanism. The same shake sensor and correction system serve both shutter types, with automatic adaptation based on detected shutter type, thereby improving accuracy without proportionally increasing complexity.
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
The system effectively reduces image blur by accurately determining and correcting for camera shake components specific to the type of shutter used, preventing unnecessary corrections and maintaining image clarity.
Implementation Method 1
shake sensors that detect an angular acceleration, an angular speed
Data Source
AI summary
A camera system used for shooting an image, determines whether or not a predetermined shake component due to a mechanical shutter is added to a shake component detected by a shake sensor in dependence upon the type of a shutter (a mechanical shutter or an electronic shutter), and selects the determined component accordingly.


