Motion Blur Notification for Subject-Aware Image Capture
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image capturing apparatuses in shutter-speed-priority mode fail to consider the subject's movement speed and amount when determining appropriate shutter speed, making it difficult for users to predict and correct for motion blur during actual shooting.
Innovation Solution
The apparatus includes a motion blur notification system that estimates motion blur in actual shooting conditions based on preliminary shooting parameters, allowing users to visualize and adjust settings to minimize blur by superimposing a motion blur notification image on the display during preliminary shooting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the apparatus provides motion blur notification during preliminary shooting, then the user can confirm and adjust for motion blur in actual shooting, but the device complexity increases due to additional processing units and algorithms
Solution Approach 1:
The system performs motion blur estimation and notification during preliminary shooting before actual capture. The notification image generation unit creates a visual representation of expected motion blur based on preliminary captured images and shooting parameters, allowing users to adjust settings in advance to avoid unwanted blur in final shots.
Solution Approach 2:
The system generates a notification image that copies and visualizes the expected motion blur effect on the actual captured image. This notification image is superimposed on or displayed alongside the preliminary captured image, providing a visual copy of what the final image might look like with motion blur, enabling users to make informed adjustments.
2Loss of information
If the apparatus estimates motion blur from preliminary captured images, then the user can predict motion blur in actual shooting, but the measurement precision is reduced due to parameter differences between preliminary and actual shooting
Solution Approach 1:
The system dynamically adjusts the estimation process by detecting differences between preliminary and actual shooting parameters (shutter speed, focal length, subject distance). When parameters change significantly, the system recalculates motion blur estimation based on actual shooting conditions rather than relying solely on preliminary data, maintaining accuracy despite parameter variations.
Solution Approach 2:
The system monitors and compares shooting parameters between preliminary and actual shooting modes. Based on detected parameter changes (such as shutter speed, aperture, ISO, focal length), the system adjusts its motion blur estimation calculations to account for these variations, ensuring accurate predictions even when shooting conditions change.
Data Source
AI summary
An apparatus includes: an obtaining unit that obtains a plurality of first captured images obtained by performing first shooting with a first parameter and motion information about subjects in the plurality of first captured images; an estimation unit that, when second shooting is performed with a second parameter set independent of the first parameter, estimates motion blur of the subjects in a second captured image obtained in the second shooting, from the motion information and the second parameter; a notification unit that performs a notification process corresponding to information about the motion blur; a specifying unit that specifies a subject for which the notification process is performed; and a determination unit that determines a region for which the notification process is performed, based on the specified subject, in which the notification unit performs the notification process for the determined region.