Image Blurring Correction Apparatus with Dynamic Filter Cutoff Frequency
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Solution Overview
Problem
Existing imaging apparatuses require users to switch between imaging modes, which can lead to poor movie shooting quality if users fail to switch appropriately, especially when big camera shaking, panning, or tilting operations are involved.
Innovation Solution
An image blurring correction apparatus with a shake detection unit, first and second generation units for shake amount data, a selection unit, and a calculation unit to determine the shake correction amount, allowing for automatic mode switching between regular and constant point capturing modes to optimize shake correction based on the shooting conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the filter cutoff frequency is set high for movie shooting, then the imaging lens is prevented from staying near the control edge and appearance is improved, but stabilization performance deteriorates
Solution Approach 1:
The patent applies dynamics by making the filter cutoff frequency adjustable rather than fixed. The system dynamically changes the cutoff frequency based on detected shake characteristics - using higher frequencies when appropriate to prevent control edge stagnation and improve appearance, while using lower frequencies when needed to enhance stabilization performance. This dynamic adaptation resolves the contradiction between appearance quality and stabilization performance.
Solution Approach 2:
The patent changes the parameter of filter cutoff frequency based on shaking conditions. By detecting the characteristics of camera shake and adjusting the cutoff frequency accordingly, the system can optimize both appearance quality (when high frequency prevents control edge stagnation) and stabilization performance (when low frequency enhances correction effectiveness), thereby resolving the technical contradiction.
2Reliability
If the user switches between imaging modes manually, then appropriate stabilization can be achieved, but operation complexity increases and users may fail to switch appropriately
Solution Approach 1:
The patent implements self-service by having the system automatically detect shake characteristics and adjust filter cutoff frequency without user intervention. The shake detection unit continuously monitors camera movement, and the control unit automatically selects appropriate cutoff frequencies based on the detected patterns, eliminating the need for manual mode switching and ensuring appropriate stabilization is applied automatically.
Solution Approach 2:
The patent uses feedback mechanisms where the shake detection unit provides real-time information about camera movement characteristics to the control unit. Based on this feedback, the system automatically adjusts the filter cutoff frequency to optimize stabilization performance, creating a closed-loop control system that eliminates manual operation requirements.
3Device complexity
If a single filter cutoff frequency is used for all conditions, then device complexity is reduced, but adaptability to different shooting conditions deteriorates
Solution Approach 1:
The patent changes the filter cutoff frequency parameter based on detected shake characteristics. The system monitors shaking conditions and automatically adjusts the cutoff frequency to match the current shooting scenario, enabling adaptability to different conditions (strong shake, weak shake, panning, tilting) without requiring multiple manual modes or complex user interfaces.
Solution Approach 2:
The patent implements dynamic adjustment of the filter cutoff frequency based on real-time shake detection. Rather than using a static single frequency or multiple manual modes, the system dynamically adapts the parameter according to detected shaking patterns, achieving versatility across different shooting conditions through a unified automated control mechanism.
Data Source
AI summary
An image blurring correction apparatus includes a correction member for correcting image blur, and a shake detection unit for detecting the shake of the apparatus and outputting a shake signal. The image blurring correction apparatus generates first shake amount data based on the shake signal, and generates second shake amount data, based on the shake signal, with which a higher shake correction effect than that of the first shake amount data can be obtained. The image blurring correction apparatus selects either the first or the second shake amount data based on the shake signal, and calculates a shake correction amount that is a moving amount of the correction member using the selected shake amount data.