Image Stabilization Apparatus Adaptive Drive Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image stabilization mechanisms fail to adequately address image quality deterioration due to excessive shake correction, leading to decreased light amount and resolution, particularly at the periphery of images, and struggle to distinguish between brightness non-uniformity caused by shake correction and subject-related issues.
Innovation Solution
An image stabilization apparatus that calculates a drive amount for correcting blur by moving the image sensor within allowable limits based on optical characteristics and system states, ensuring optimal image quality by balancing shake correction and peripheral light management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the drive amount of the image sensor is excessively increased for correcting shakes, then the image stabilization effect is improved, but the light amount (brightness) decreases and resolution deteriorates
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the drive amount of the image sensor based on multiple factors including shake amount, focal length, aperture value, and shooting distance. The calculator computes an optimal drive amount that balances stabilization effectiveness with light amount preservation, rather than using a fixed or maximally aggressive correction approach.
Solution Approach 2:
The system implements dynamics by making the image sensor drive amount adaptive rather than static. The calculator continuously determines the appropriate correction magnitude based on real-time shooting conditions and optical characteristics, allowing the stabilization mechanism to be more aggressive when light allows and more conservative when brightness is critical.
2Reliability
If the drive amount of the image sensor is excessively increased for correcting shakes, then the image stabilization effect is improved, but the resolution decreases
Solution Approach 1:
The patent uses parameter changes to optimize the trade-off between stabilization and resolution by adjusting the drive amount based on shooting conditions. The calculator considers factors like focal length and aperture to determine the appropriate correction magnitude that maintains image quality while achieving stabilization.
Solution Approach 2:
The system employs dynamics by making the correction magnitude adaptive to shooting conditions. Rather than applying a fixed correction amount, the calculator dynamically adjusts the drive amount based on real-time parameters, ensuring resolution is preserved when possible while still achieving stabilization when needed.
3Measurement precision
If the luminance signal is detected from a captured signal to determine degrees of uniformity, then the brightness uniformity can be measured, but it is difficult to determine whether non-uniformity is caused by shake correction or subject
Solution Approach 1:
The patent applies preliminary action by calculating the expected brightness distribution at the four corners based on optical characteristics information obtained before or during shooting. This expected distribution serves as a reference to compare against actual measurements, enabling the system to identify deviations caused by shake correction rather than subject characteristics.
Solution Approach 2:
The system uses an intermediary approach by introducing optical characteristics information as a reference model. This intermediary data represents the expected brightness uniformity under ideal conditions, allowing the system to isolate and identify non-uniformity specifically caused by shake correction by comparing actual measurements against this reference.
4Reliability
If the drive amount of the shake correction mechanism is excessively large, then the blur correction is improved, but the image quality deterioration at the periphery due to aberration increases
Solution Approach 1:
The patent applies parameter changes by adjusting the drive amount based on optical characteristics including focal length and aperture value. The calculator determines an optimal correction magnitude that achieves sufficient blur correction while staying within limits that prevent excessive aberration effects at the image periphery.
Solution Approach 2:
The system implements dynamics by making the correction magnitude adaptive to optical conditions. The calculator dynamically adjusts the drive amount based on real-time parameters like focal length and aperture, allowing the system to optimize between blur correction and aberration control for each specific shooting scenario.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively maximizes image stabilization while maintaining image quality at peripheral portions, reducing unwanted brightness changes and aberration-induced distortions, thereby enhancing overall image clarity and stability.
Implementation Method 1
an image sensor that photoelectrically converts light incident through an optical system and outputs an image signal
Data Source
AI summary
An image stabilization apparatus comprising: a calculator that calculates a drive amount for correcting blur by moving a position of an image sensor, that photoelectrically converts light incident through an optical system and outputs an image signal, on a plane perpendicular to an optical axis of the optical system in accordance with a detected blur amount; and calculates, for each of a plurality of states of the optical system and a plurality of states of an image capturing apparatus, an allowable drive amount of the image sensor corresponding to optical characteristics information and a state of the optical system and a state of the image sensor. The calculator calculates the drive amount within the allowable drive amount.