Image Blur Correction Apparatus Using Dual Shake Detection
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Solution Overview
Problem
Existing image blur correction methods experience reduced effectiveness due to communication errors and delays when multiple apparatuses coordinate for image blur correction, particularly when a low-speed communication cycle is set, leading to decreased processing efficiency and image quality.
Innovation Solution
An image blur correction apparatus and method that utilize multiple shake detection units and calculation methods to cyclically calculate and apply image blur correction amounts, ensuring continuous correction even with reduced communication cycles by alternating between different shake information sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a low-speed communication cycle is set to reduce communication errors and delays, then communication reliability is improved, but the speed of obtaining shake information is reduced, thereby reducing image blur correction effects
Solution Approach 1:
The patent divides the shake information acquisition into multiple independent sources: first shake detection units (acceleration sensors) that operate at high speed, and second shake detection units (gyro sensors) that operate at the communication cycle speed. This segmentation allows the system to maintain high-speed correction capability while using lower-speed communication for coordination.
Solution Approach 2:
The patent introduces prediction means as an intermediary that generates predicted shake information at high speed based on low-speed communication data. This predicted information serves as a bridge, allowing the system to maintain high-speed image blur correction effects while relying on the more reliable low-speed communication channel for actual shake data.
2Productivity
If high-speed frame rate shooting is performed to obtain smoother slow videos, then video smoothness is improved, but processing load on the camera increases, leading to communication errors and delays
Solution Approach 1:
The patent segments the image blur correction processing between the camera body and mounted lens apparatus. The camera body performs high-speed video shooting and initial correction, while the mounted lens apparatus performs additional correction based on its own shake detection. This distribution of processing load prevents communication bottlenecks while maintaining high frame rates.
Solution Approach 2:
The mounted lens apparatus independently detects shake using its own acceleration sensors and performs image blur correction without waiting for communication from the camera body. This self-service capability allows the system to maintain high processing speeds while reducing communication dependency.
3Stability of the object's composition
If prediction methods such as Kalman filtering are used to calculate blur correction amounts, then correction smoothness is improved, but correction accuracy significantly reduces when erroneous correction amounts are calculated
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors the reliability of predicted shake information and adjusts its usage accordingly. When communication provides actual shake data, the system feedbacks this information to correct the predicted values, ensuring both smoothness and accuracy in the correction amounts.
Solution Approach 2:
The patent combines multiple types of shake information (actual shake data from communication, predicted shake data from prediction means, and alternative shake data from other detection units) to create a composite correction signal. This composite approach maintains smoothness while reducing the impact of erroneous corrections through data fusion.
Data Source
AI summary
An image blur correction apparatus comprises an obtainment unit configured to obtain shake information; a plurality of image blur correction amount calculation units including a first image blur correction amount calculation unit configured to calculate image blur correction amounts that respectively correspond to partial images included among a plurality of continuous images, and a second image blur correction amount calculation unit configured to calculate image blur correction amounts that respectively correspond to partial images included among the plurality of continuous images with use of a method different from a method used by the first correction amount calculation unit; and control unit configured to control the plurality of image blur correction amount calculation units.