Blur Detection Using Inertial Metadata
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Solution Overview
Problem
Existing techniques for analyzing defocused states in images from moving images are time-consuming, especially when processing high-resolution 4K or 8K frames.
Innovation Solution
A processing apparatus that acquires inertial information from imaging apparatus metadata and uses this information to specify images with low accumulated blur, thereby reducing processing time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image analysis is performed for each frame of a moving image to select frames with small defocus amounts, then image selection accuracy is improved, but processing time increases significantly
Solution Approach 1:
The patent extracts and utilizes inertial information from imaging apparatus metadata to determine blur amounts, rather than performing complete image analysis. This extraction approach allows selection of frames with small defocus amounts based on pre-existing inertial data, significantly reducing processing time while maintaining selection accuracy.
Solution Approach 2:
The patent leverages inertial information that is already captured and stored in metadata during the imaging process. By using this pre-acquired information to determine blur amounts, the system avoids the need for time-consuming post-processing image analysis, thus reducing overall processing time while maintaining accurate frame selection.
2Manufacturing precision
If high-resolution 4K or 8K images are processed, then image quality is improved, but processing time increases
Solution Approach 1:
The patent extracts blur amount information from inertial metadata rather than analyzing the full high-resolution image data. This allows the system to maintain the quality benefits of working with high-resolution images (4K or 8K) while avoiding the time-consuming process of analyzing each pixel, thus reducing processing time significantly.
Solution Approach 2:
The patent introduces inertial information as an intermediary parameter to determine blur amounts. Instead of directly analyzing the complex high-resolution image data, the system uses this intermediate inertial metadata to make blur determinations, which are much faster to process while still accurately reflecting the blur state of the high-resolution images.
Data Source
AI summary
A processing apparatus according to the aspect of the embodiments acquires inertial information from an image acquired at a time of imaging and to which the inertial information is added, and specifies, based on the inertial information, an image in which a blur amount at the time of imaging is less than a threshold.