Camera Shake Correction via Automatic Lens Characteristic Estimation
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Solution Overview
Problem
Existing camera devices struggle to accurately correct for shake when lenses are replaced, requiring manual input of focal length information and leading to suboptimal image stabilization, especially in environments where the device is prone to shaking.
Innovation Solution
A camera device equipped with a shake correction mechanism that includes a lens characteristic estimator, a shake sensor, and a controller, which automatically estimates lens characteristics and adjusts the shake correction based on detected shake values, reducing operator effort and improving image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input of focal length information is required when lenses are replaced, then the camera device can store accurate lens characteristics, but the operator effort and time required for lens replacement increases
Solution Approach 1:
The camera device automatically estimates lens characteristics (focal length, aperture value) by processing shake sensor data and captured images, eliminating the need for manual input. The lens characteristic estimator unit self-determines optical parameters through algorithmic analysis of shake magnitude and image metadata, allowing the system to serve itself without operator intervention during lens replacement
Solution Approach 2:
The system uses feedback from shake sensor measurements and captured image metadata to continuously refine and determine lens characteristics. The controller analyzes the relationship between detected shake amounts and image properties to infer focal length and aperture values, creating a closed-loop system that automatically adapts to different lenses without manual configuration
2Device complexity
If the camera device does not have accurate lens characteristics, then the device complexity is reduced, but the shake correction accuracy deteriorates
Solution Approach 1:
The patent replaces manual configuration mechanisms with an automated estimation system that uses sensor data and image processing to determine lens characteristics. Instead of requiring mechanical input devices or pre-configured databases, the system substitutes these with algorithmic analysis of shake sensor outputs and captured image metadata to infer optical parameters
Solution Approach 2:
The lens characteristic estimator unit acts as an intermediary between the shake sensor and the shake correction mechanism. It processes raw shake data and image metadata to derive lens characteristics, which are then used by the controller to optimize shake correction. This intermediary layer enables accurate correction without direct manual input or complex pre-programming
3Device complexity
If the shake correction mechanism uses fixed parameters, then the device complexity is reduced, but the adaptability to different lenses deteriorates
Solution Approach 1:
The system transitions from fixed shake correction parameters to dynamic, adaptive parameters that automatically adjust based on the installed lens. The lens characteristic estimator continuously determines current lens properties, and the controller modifies shake correction magnification and direction accordingly. This dynamic adaptation allows the same hardware to effectively work with multiple different lenses without manual reconfiguration
Solution Approach 2:
The shake correction mechanism is designed to be universal across different lens types by using automated characteristic estimation. The system can handle various focal lengths, aperture values, and lens configurations through a single unified control approach that adapts its parameters based on real-time lens identification, eliminating the need for lens-specific configuration modes
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 solution effectively reduces the effort required for operator input and enhances image stabilization by accurately correcting for shake, even when lenses are replaced, thereby maintaining image quality in shaky environments.
Implementation Method 1
a gyro sensor that detects shake of the camera device
Implementation Method 2
a linear motor that drives the imaging element unit in a direction opposite to a shake direction
Data Source
AI summary
A camera device includes a lens on which subject light is incident, an imaging element that images an image based on the subject light, a shake sensor that detects shake of the camera device, a shake correction mechanism that holds a holder which holds the imaging element and performs shake correction on a captured image captured by the imaging element through driving of the holder, a characteristic estimator that estimates characteristics of the lens based on a detection value of the shake sensor and a shake correction amount of the shake correction mechanism, and a controller that causes the shake correction mechanism to drive the holder by using the detection value of the shake sensor and an estimation result of the characteristics of the lens.