Imaging Device Blur Correction via Sensor Shift and State Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Handheld imaging devices, such as digital cameras, often capture blurred images due to camera shake, and existing shake reduction technologies struggle to accurately determine the device's state and adjust the correction mechanism accordingly.
Innovation Solution
An imaging device with a blurred-image correction unit driven perpendicular to the optical axis, featuring a drive controller that uses a low-pass filter and state determining unit to differentiate between panning and following states based on shake detection signals, allowing for precise movement calculations and correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the shake reduction mechanism is activated to correct blurred images, then image clarity is improved, but the device complexity increases due to additional components and control mechanisms
Solution Approach 1:
The image sensor serves dual functions: it acts as both the imaging element and the blurred-image correction unit. By moving the image sensor perpendicular to the optical axis, the system achieves shake reduction without requiring separate correction components, thereby improving image clarity while minimizing device complexity
Solution Approach 2:
A low-pass filter is introduced as an intermediary component in the control signal path. The filter processes the shake detection signal to distinguish between panning and following states, enabling precise control of the correction mechanism without adding complex control logic
2Stability of the object's composition
If the shake reduction mechanism operates at high speed to correct rapid camera shake, then image stability is improved, but the loss of time for accurate state determination increases
Solution Approach 1:
The low-pass filter continuously processes the shake detection signal in advance to determine the operational state (panning or following) before correction is needed. This preliminary state determination allows the control unit to immediately apply the appropriate correction algorithm when shake occurs, improving image stability without time loss
Solution Approach 2:
The patent replaces mechanical state detection methods with signal processing. By using a low-pass filter to analyze the frequency characteristics of the shake detection signal, the system electronically determines the operational state, eliminating the need for mechanical sensors or complex mechanical measurement systems
3Measurement precision
If the control cycle is shortened to respond faster to shake movements, then correction accuracy is improved, but the computational load and device complexity increase
Solution Approach 1:
The control system is segmented into distinct functional units: a shake detection unit, a low-pass filter unit for state determination, and a control unit for correction. This segmentation allows each unit to operate independently at its optimal speed, enabling fast response with manageable complexity in each module
Data Source
AI summary
An imaging device includes an imaging optical system through which object light flux passes, an image sensor to form the object light flux that has passed through the imaging optical system as an object image, a shake detector to detect shake, a blurred-image correction unit including at least one of the image sensor and an optical element that makes up at least a part of the imaging optical system, a drive circuit to drive the blurred-image correction unit in a direction different from an optical axis of the imaging optical system to move a position on the image sensor at which the object image is formed, to correct a blurred image, and a drive controller to control, based on a current position and a control objective position of the blurred-image correction unit, operation of the blurred-image correction unit by the drive circuit at a constant control cycle.


