Image Stabilization Control With Adaptive Shake-Target Selection
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Solution Overview
Problem
Existing image stabilization methods fail to accurately address translational blur due to varying shake patterns, as they rely on assumptions about dominant frequency bands that may not always hold true.
Innovation Solution
An image stabilization control apparatus and method that calculates multiple shake reduction target values using signals from orthogonal axes to determine the most effective value for reducing translational shake, incorporating angular and rotational shake components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If image stabilization is performed based on a fixed assumption about dominant frequency bands, then the device complexity is reduced, but the manufacturing precision of translational shake reduction deteriorates
Solution Approach 1:
The patent applies dynamics by making the shake reduction control dynamic rather than static. The system switches between different shake reduction target values based on the actual shake characteristics detected during shooting. Specifically, it dynamically selects between angular shake-based correction and translational shake-based correction according to the dominant shake type, allowing the control strategy to adapt to varying shooting conditions and achieve high precision without overly complex algorithms
Solution Approach 2:
The patent changes the parameter of shake reduction target value based on detected shake characteristics. By monitoring the actual shake and determining whether angular or translational shake is dominant, the system changes the correction target parameter accordingly. This parameter switching mechanism enables precise translational shake reduction while maintaining relatively simple control logic, resolving the contradiction between complexity and precision
2Manufacturing precision
If multiple shake reduction target values are calculated and selected based on shake characteristics, then the manufacturing precision of translational shake reduction is improved, but the device complexity increases
Solution Approach 1:
The patent segments the shake reduction control into distinct modes: angular shake-based correction mode and translational shake-based correction mode. By dividing the control strategy into separate segments that can be independently optimized and selectively applied, the system achieves high precision translational shake reduction without requiring a single overly complex algorithm. Each segment handles specific shake characteristics efficiently
Solution Approach 2:
The patent implements feedback by continuously monitoring shake characteristics and using this information to select the appropriate shake reduction target value. The system detects the dominant shake type (angular or translational) and feeds this information back to the control algorithm, which then adjusts the correction strategy accordingly. This feedback mechanism enables precise control while maintaining algorithmic simplicity through conditional logic rather than complex continuous optimization
Data Source
AI summary
An image stabilization control apparatus comprises: a first calculation unit that calculates a first shake reduction target value for reducing translational shake in a first direction using a first signal indicating translational shake in the first direction and a second signal indicating rotational shake about an axis in a second direction; a second calculation unit that calculates a second shake reduction target value for reducing the translational shake in the first direction using the first signal and a third signal indicating rotational shake about an axis in a third direction; and a selection unit that selects one of a plurality of shake reduction target values, including at least the first and second shake reduction target values, for reducing the translational shake in the first direction based on the second and third signals.