Image Stabilization Control for Translational and Perspective Correction
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Solution Overview
Problem
Conventional image stabilization methods for image capture apparatuses face challenges in maintaining image quality due to high computational complexity and the need for large correction calculations, which result in a reduced output image range and degraded video quality when correcting for various types of blur caused by camera shake during walking.
Innovation Solution
An image capture apparatus with a shake detection unit, translational motion correction unit, perspective component correction unit, and control unit that adjusts correction capabilities based on detected shake, minimizing excessive correction and maintaining image quality by restricting the number of extra pixels needed for deformation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If correction is performed for all deformation components (translation, perspective, rotation, shear), then image stabilization effect is improved, but calculation amount becomes very large and processing becomes complicated
Solution Approach 1:
The patent segments the deformation correction into two distinct parts: projective transformation (handling translation and perspective components) and rotation correction. By separating these correction types, the system can apply different processing strategies to each, reducing overall computational complexity while maintaining stabilization effectiveness.
Solution Approach 2:
The patent applies partial correction by focusing only on the most critical deformation components (projective transformation and rotation) rather than correcting all possible deformation types. This selective approach achieves sufficient stabilization effect without the excessive computational burden of comprehensive correction.
2Reliability
If correction is performed for all deformation components, then image stabilization effect is improved, but output image range becomes small and image quality degrades
Solution Approach 1:
By segmenting correction into projective transformation and rotation components, the patent can optimize the output image range for each type. The projective correction maintains larger output ranges compared to full deformation correction, thereby preserving image quality while still achieving stabilization.
Solution Approach 2:
The patent changes the correction parameters by selectively applying correction only to projective transformation and rotation components, rather than all deformation components. This parameter selection maintains a larger output image range and prevents quality degradation.
3Manufacturing precision
If translation component and perspective component correction are applied, then translational blur is reduced, but extra pixels are required and output image range decreases
Solution Approach 1:
The patent applies partial correction by focusing only on the essential projective transformation components (translation and perspective) without over-correcting. This balanced approach achieves sufficient translational motion correction while minimizing the loss of output image range.
Data Source
AI summary
An image capture apparatus comprises a shake detection unit configured to detect a shake, a translational motion correction amount calculation unit configured to calculate a first correction amount for correcting a translational motion component, a perspective component correction amount calculation unit configured to calculate a second correction amount for correcting a perspective component, an image stabilization unit configured to correct the image blurring of the captured image based on the first and second correction amount, and a control unit configured to restrict, if a panning state of the image capture apparatus is determined, the translational motion correction amount calculation unit and the perspective component correction amount calculation unit so as to decrease correction capability for the translational motion component and the perspective component.