Camera Shake Correction Reference Value Calculation
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Solution Overview
Problem
Conventional image capture apparatuses face challenges in accurately calculating the reference value for camera shake correction, especially during panning operations, leading to incomplete shake correction and errors in motion vector detection.
Innovation Solution
An image capture apparatus with a shake detection unit, motion vector detection unit, reference value calculation unit, correction amount calculation unit, and image blur correction unit, which calculates a reference value based on integrated outputs from these units and corrects blur by determining a shake correction amount, improving precision and performance even during weakened shake correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If shake correction is performed using a reference value from angular velocity sensor, then camera shake correction is achieved, but the reference value fluctuates with temperature causing inaccurate correction
Solution Approach 1:
The system uses motion vector detection feedback to continuously monitor actual image displacement and compares it with the shake correction amount. This feedback loop enables dynamic adjustment of the reference value to compensate for temperature-induced sensor drift, ensuring accurate shake correction despite environmental changes.
Solution Approach 2:
The patent replaces reliance on the angular velocity sensor's mechanical reference value with an optical-based motion vector detection system. By detecting actual image movement between frames and using this optical information to determine the reference value, the system eliminates temperature-sensitive mechanical sensor dependencies.
2Ease of operation
If shake correction is weakened during panning operation, then panning smoothness is improved, but motion vector detection accuracy deteriorates due to mixed shake and panning components
Solution Approach 1:
The system segments the image motion into distinct components: shake motion (high-frequency, small amplitude) and panning motion (low-frequency, large amplitude). By separating these motion characteristics in the temporal and spatial domains, the system can accurately detect motion vectors during panning without interference from shake components, even when shake correction is weakened.
Solution Approach 2:
The system dynamically adjusts the shake correction strength based on detected motion characteristics. When panning is detected through motion vector analysis, the system adaptively reduces shake correction to maintain panning smoothness. This dynamic control allows the system to optimize both panning performance and motion vector detection accuracy according to the current operation mode.
3Reliability
If full shake correction is applied during panning, then shake correction performance is maintained, but it obstructs the user's panning operation
Solution Approach 1:
The system implements dynamic control of shake correction strength based on real-time detection of user panning operations. When panning motion is detected through motion vector analysis, the system automatically reduces the shake correction effect to allow smooth panning. When no panning is detected, full shake correction is applied to maintain image stability. This dynamic adjustment resolves the contradiction between maintaining shake correction performance and enabling smooth panning operations.
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
Enhances the precision of reference value calculation and improves camera shake correction performance, ensuring accurate blur correction during panning and other operations.
Implementation Method 1
an image capture unit which photo-electrically converts an object image to output an image signal
Data Source
AI summary
An image capture apparatus comprises an image capture unit which photo-electrically converts an object image, a shake detection unit which detects a shake of the image capture apparatus, a motion vector detection unit which detects a motion vector, a reference value calculation unit which calculates a reference value serving as an output from the shake detection unit when the image capture apparatus stands still, a correction amount calculation unit which calculates a shake correction amount, and an image blur correction unit which corrects a blur of the object image, wherein the reference value calculation unit calculates the reference value based on an integrated value of the output from the shake detection unit, an integrated value of an output from the motion vector detection unit, and a variation of the output from the correction amount calculation unit in a predetermined period.