Motion Blur Estimation in Imaging Apparatus
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Solution Overview
Problem
Users find it difficult to visually check for motion blur during preliminary image capturing, especially when shutter speeds differ between preliminary and main image capturing, making it challenging to predict and prevent blur in captured images.
Innovation Solution
An information processing apparatus and method that acquires first captured images and motion information, estimates motion blur based on new imaging parameters, and notifies the user of potential motion blur in a second captured image, allowing for adjustments before main image capturing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users visually check images on electronic view finder or back liquid crystal display during preliminary image capturing, then users can monitor framing and imaging conditions, but users cannot easily detect motion blur that will occur at set shutter speed
Solution Approach 1:
The patent creates a simulated captured image that copies the appearance of an actual captured image but allows overlay of motion blur information. This simulated image is generated based on the captured image and motion blur estimation results, enabling users to visually assess motion blur effects without actually capturing the blurred image
Solution Approach 2:
The patent applies color or luminance changes to highlight regions with estimated motion blur in the simulated captured image. By changing the visual appearance of blurred regions through color or brightness modifications, users can easily identify areas affected by motion blur at a glance
2Adaptability or versatility
If shutter speed is changed between preliminary and main image capturing, then imaging parameters can be optimized, but motion blur prediction becomes difficult
Solution Approach 1:
The patent calculates motion blur estimation based on the relationship between shutter speeds of preliminary and main image capturing. By incorporating shutter speed parameters into the motion blur calculation, the system can predict motion blur effects even when shutter speed changes between preliminary and actual capture
Solution Approach 2:
The system provides feedback by displaying motion blur estimation results on the simulated captured image during preliminary image capturing. This allows users to adjust framing and imaging conditions with knowledge of expected motion blur, enabling informed decisions about parameter optimization
Data Source
AI summary
An information processing apparatus includes an acquisition unit configured to acquire a plurality of first captured images acquired in a plurality of first image capturing operations based on a first imaging parameter, and motion information for a subject in the plurality of first captured images, a setting unit configured to set a second imaging parameter, an estimation unit configured to estimate, based on the motion information and the second imaging parameter, a motion blur of a subject in a second captured image acquired when a second image capturing is performed based on the second imaging parameter and a notification unit configured to notify of the motion blur. The motion blur is a statistic of a motion blur in each of the plurality of first captured images.