Camera Blur Correction Evaluation Using Image and Vibration Signals
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Solution Overview
Problem
Existing methods for evaluating image blur correction capability in image capturing apparatuses do not accurately account for individual differences in camera shake caused by photographers, leading to inconsistent evaluation results.
Innovation Solution
An evaluation method that calculates blur amounts from both captured images and detection signals, correcting for camera shake using a tripod-based reference and hand-held comparisons to determine the image blur correction capability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a vibrating base is used to input determined vibrations for evaluation, then the image blur correction capability can be measured, but the evaluation results do not match the actual camera shake experience due to individual differences in camera shake
Solution Approach 1:
The image capturing apparatus itself detects its own vibrations using an acceleration sensor built into the apparatus, rather than relying on external vibration input from a vibrating base. This self-detection capability allows the system to automatically capture actual camera shake data during hand-held operation, making the evaluation adaptable to individual user characteristics while maintaining precise measurement of blur correction performance
2Adaptability or versatility
If evaluation is performed based on images obtained during hand-held operation, then individual camera shake differences are captured, but the measurement process becomes more complex and less controlled
Solution Approach 1:
The evaluation system merges multiple functions into a unified process: the acceleration sensor simultaneously detects vibrations for blur correction evaluation, the image capturing element captures images during hand-held operation, and the control unit integrates both vibration data and image data to calculate blur correction capability. This consolidation allows the system to adapt to individual camera shake patterns while maintaining a relatively simple and controlled measurement process
Data Source
AI summary
A camera system control unit of a camera acquires a captured image of a subject, and acquires a detection signal relating to a vibration applied to the camera. The camera system control unit evaluates an image blur correction capability of the camera based on a first blur amount calculated based on the captured image that are acquired, and a second blur amount that is calculated based on the detection signal relating to the vibration that is acquired.