Dynamic Region Vector Detection for Image Stabilization
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Solution Overview
Problem
Conventional image stabilization systems face issues with normal compensation due to zero vectors with low reliability and incorrect direction correction when a camera is fixed or revolving, leading to malfunctions.
Innovation Solution
An image stabilization system that includes a region vector detection unit, reliability determination unit, and a stabilization unit, which dynamically adjusts detection regions and computes motion vectors to enhance reliability and account for camera revolution, allowing precise mechanical control and reducing the need for vibration isolation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional motion vector detection is used with fixed detection regions, then the system structure is simple, but the reliability of motion vector detection deteriorates when a camera is fixed or revolving
Solution Approach 1:
The patent implements dynamic detection region management where the detection region is shifted by a predetermined amount based on the previous motion vector. This dynamic adjustment allows the system to adapt to camera revolution while maintaining reliable motion vector detection, resolving the contradiction between detection reliability and system complexity.
Solution Approach 2:
The system uses feedback from previously detected motion vectors to determine the position of subsequent detection regions. By incorporating the previous motion vector into the detection region shifting mechanism, the system continuously adapts to camera movement, maintaining high detection reliability without requiring complex predefined region management.
2Reliability
If multiple detection regions are used to improve reliability, then the reliability of motion vector detection improves, but the device complexity increases
Solution Approach 1:
The patent extracts and utilizes only the essential component - the previous motion vector - to guide detection region positioning. By focusing on this single key parameter rather than analyzing multiple complex region matching scenarios, the system achieves reliable detection while keeping the processing logic simple and manageable.
3Reliability
If vibration isolation mechanisms are used to reduce image sway, then image stabilization improves, but the device complexity and cost increase
Solution Approach 1:
The patent replaces mechanical vibration isolation systems with a digital image processing approach. By using motion vector detection and image shift compensation through signal processing, the system achieves effective image stabilization without requiring complex mechanical isolation mechanisms, thereby reducing device complexity and cost.
Solution Approach 2:
The system changes the approach from physical parameter control (mechanical isolation) to digital parameter processing (image signal manipulation). By detecting motion vectors and applying compensatory shifts to image signals, the system achieves stabilization through parameter changes in the digital domain rather than mechanical parameter control.
Data Source
AI summary
An image stabilization system includes: a region vector detection unit configured to detect a motion vector of each of a plurality of regions in an image; a reliability determination unit configured to determine reliability of the motion vector of each of the regions; a region indicator configured to indicate, to the region vector detection unit, a new detection target region instead of a region whose motion vector is determined to have low reliability; an image vector computing unit configured to compute a motion vector of the entire image using a motion vector determined to have high reliability; and a stabilization unit configured to move an entire image to be output according to the motion vector of the entire image to compensate for sway of the image.