Image Blur Correction Device Motion Vector Detection
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Solution Overview
Problem
Existing image blur correction technologies face challenges in accurately detecting motion vectors, particularly in patterns with no feature points, leading to erroneous detection and excessive correction of object blur.
Innovation Solution
An image blur correction device that includes a detection unit to determine motion amounts of images, a calculation unit to calculate object motion based on detected motion and blur signals, and a control unit to manage the correction, employing multiple detection settings and correlation analysis to improve precision in vector detection and correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion vector detection is performed using conventional methods (block matching or correlation method), then motion amounts can be detected, but erroneous detection occurs in patterns with no feature points leading to excessive blur correction
Solution Approach 1:
The patent applies dynamics by making the detection settings changeable based on image characteristics. The detection unit dynamically adjusts detection parameters according to the specific image content, allowing it to adapt to different patterns including featureless areas. This dynamic adjustment enables reliable motion detection across varied image types without erroneous corrections.
Solution Approach 2:
The patent implements parameter changes by modifying detection settings based on image analysis. Different detection parameters are selected depending on the image characteristics, such as the presence or absence of feature points. This parameter adaptation allows the system to maintain high detection precision and reliability across different imaging conditions.
2Device complexity
If a single detection setting is used for motion vector detection, then the detection process is simple, but detection precision varies across different image patterns
Solution Approach 1:
The detection unit dynamically selects and switches between multiple detection settings based on image characteristics. This dynamic approach allows the system to maintain relatively simple processing for each individual image while achieving high precision across diverse image patterns through adaptive setting selection.
Solution Approach 2:
Multiple detection settings with different parameters are prepared, and the appropriate setting is selected based on image analysis. This parameter variation enables the system to achieve high detection precision for different image types without permanently increasing system complexity.
3Measurement precision
If multiple detection settings are used to improve detection precision, then accuracy improves, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary analysis of image characteristics before executing motion detection. Based on this preliminary assessment, it pre-selects the most appropriate detection setting, avoiding the need to process through multiple settings. This preliminary action reduces processing time while maintaining high detection accuracy.
Solution Approach 2:
The detection unit dynamically determines the optimal detection setting based on real-time image characteristics. This dynamic selection process allows the system to efficiently choose the most suitable detection method for each image, reducing unnecessary computational overhead and processing time while maintaining high precision.
Data Source
AI summary
According to an aspect of the invention, an image blur correction device includes: a memory; and at least one processor operating in accordance with a program stored in the memory. The at least one processor comprises: a detection unit configured to detect motion amounts of images on the basis of imaged images; a calculation unit configured to calculate a motion amount of an object on the basis of the motion amounts of the images detected by the detection unit and a detection signal of blur detected by a blur detection unit; and a control unit configured to control the image blur correction unit on the basis of the motion amount of the object calculated by the calculation unit.