Imaging Device Shake Correction via Dual-Source Selection
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Solution Overview
Problem
Existing imaging technologies fail to effectively correct image shake in captured images due to factors like zoom-in imaging and low illuminance, as they cannot accurately account for varying imaging conditions.
Innovation Solution
An imaging device with a primary correction amount calculator, secondary correction amount calculator, correction amount selector, and image converter that adjusts for physical shake and search shake based on imaging conditions such as pan, tilt, zoom operations, and brightness to perform geometrical conversions and correct image shake.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If zoom-in imaging is performed, then the imaging device can capture detailed images, but the image shake in the captured image becomes large even when the physical shake amount is small
Solution Approach 1:
The correction amount is divided into two independent components: a primary correction amount based on physical shake detection and a secondary correction amount based on image sequence analysis. This segmentation allows the system to address different sources of image shake separately, enabling effective correction even during zoom-in operations where physical shake may be minimal but image shake remains problematic.
Solution Approach 2:
The patent introduces an intermediary correction mechanism that analyzes the relationship between consecutive image frames to detect and correct residual shake. This intermediary approach complements the primary physical shake correction, effectively handling the image shake problem during zoom-in imaging where the primary correction alone is insufficient.
2Manufacturing precision
If pattern matching is performed in low illuminance conditions, then the system can correct image shake, but the pattern matching becomes difficult when brightness is low
Solution Approach 1:
The correction mechanism is segmented into two parts: primary correction using physical shake detection (which works independently of image brightness) and secondary correction using pattern matching. By using the primary correction component, the system can maintain effective shake correction in low illuminance conditions where pattern matching alone would fail.
Solution Approach 2:
The system changes the approach by switching from relying solely on pattern matching (which depends on image brightness) to using physical shake detection parameters (which are independent of brightness). This parameter change enables the system to function effectively in low illuminance conditions where the original pattern-matching-only approach would fail.
Data Source
AI summary
Imaging device has a configuration provided with: a primary correction amount calculator that calculates a primary correction amount for correcting image shake in a current frame image based on a physical shake amount of the imaging device; a secondary correction amount calculator that calculates a secondary correction amount for correcting a search shake amount between the current frame image and a previous frame image which is one frame image before the current frame image; a correction amount selector that selects at least one of the primary correction amount and the secondary correction amount based on at least one of an imaging condition and the primary correction amount; and an image converter that performs a geometrical conversion with respect to the current frame image based on at least one of the primary correction amount and the secondary correction amount which is selected by the correction amount selector.