Multi-Axis Shake Detection for Image Blur Reduction
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Solution Overview
Problem
Current image capturing apparatuses face challenges in accurately detecting and correcting translational shake, especially at lower frequencies, which can lead to image deterioration during longer exposure times, as existing methods assume a single rotational axis and fail to account for varying dominant frequency bands across different axes.
Innovation Solution
The apparatus includes multiple shake detection units to detect rotational and translational components along different axes, with band-pass filters and correction units to calculate and apply shake correction amounts based on specific frequency bands, improving accuracy by considering the unique characteristics of each axis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If image capturing is performed at longer exposure time, then the ability to capture more light is improved, but the influence of translational shake at lower frequencies increases and degrades image quality
Solution Approach 1:
The patent segments the shake correction process by dividing the frequency spectrum into multiple bands (first frequency band and second frequency band). Different frequency components are processed separately through dedicated correction units, allowing targeted correction of low-frequency translational shake while maintaining correction of high-frequency rotational shake.
Solution Approach 2:
The patent implements dynamic frequency-based correction by adaptively selecting and applying different correction amounts based on the detected frequency characteristics of camera shake. The system dynamically adjusts correction parameters according to the dominant frequency band identified in real-time, optimizing correction effectiveness for varying shake conditions.
2Device complexity
If a single rotational axis assumption is used for translational shake calculation, then the device complexity is reduced, but the measurement precision of translational shake deteriorates due to varying dominant frequency bands across different axes
Solution Approach 1:
The patent transitions from a one-dimensional single-axis correction model to a multi-dimensional multi-axis correction system. By incorporating detection and correction along multiple rotational axes (first, second, and third axes) and processing multiple frequency bands, the system captures the complex multi-dimensional nature of camera shake, significantly improving measurement precision.
Solution Approach 2:
The patent changes the correction parameters dynamically based on frequency band analysis. Different correction amounts are applied for different frequency bands and different axes, allowing the system to adapt to the varying dominant frequency characteristics of shake along each axis, thereby improving detection accuracy without requiring an overly complex static model.
3Ease of operation
If frequency components are not filtered by dominant frequency band, then the ease of operation is maintained, but non-original translational shake components are detected and correction accuracy deteriorates
Solution Approach 1:
The patent implements feedback through frequency band analysis, where the detected shake signal is analyzed to identify dominant frequency bands, and this information feeds back into the correction process. The system uses the detected frequency characteristics to determine appropriate correction amounts, creating a closed-loop system that maintains automatic operation while improving accuracy through intelligent frequency-based decision making.
Solution Approach 2:
The patent performs preliminary frequency band analysis and dominant frequency identification before applying correction. By pre-processing the shake signal to determine which frequency bands are dominant along each axis, the system prepares the appropriate correction parameters in advance, ensuring accurate correction is applied when the actual shake occurs without requiring complex real-time adjustments during exposure.
Data Source
AI summary
An image capturing apparatus comprises a first shake detection unit configured to detect a translation component of a shake in a first axial direction; a second shake detection unit configured to detect a rotational component of a shake about a second axis; a third shake detection unit configured to detect a rotational component of a shake about a third axis; a first acquisition unit configured to acquire a first shake correction amount from an output signals of the first and second shake detection units, and acquire a second shake correction amount from an output signals of the first and third shake detection units; and a second acquisition unit configured to calculate a translational shake amount in the first axial direction using the first shake correction amount and the second shake correction amount.