Imaging System Disturbance Correlation for Image Quality Detection
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Solution Overview
Problem
Existing imaging systems lack an efficient method to detect low-quality portions in captured images, especially when the imaging device and information processing device are either fixed or separated, which complicates automatic editing and processing.
Innovation Solution
An imaging system that correlates disturbance information with image data based on fixation/separation information, indicating whether the devices are in a fixed or separated state, to facilitate the detection of low-quality image portions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If disturbance information is correlated with image data without considering fixation/separation state, then detection capability is improved, but measurement precision deteriorates due to false disturbance attribution
Solution Approach 1:
The patent applies local quality by differentiating the disturbance correlation process based on the fixation/separation state. When devices are in a fixed state, disturbance information from both devices is correlated with image data. When separated, only disturbance information from the imaging device is correlated. This localized adaptation of the correlation method ensures accurate disturbance attribution for each operational context, resolving the contradiction between detection capability and measurement precision.
2Adaptability or versatility
If the system supports both fixed and separated states with different disturbance correlation methods, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamics by making the disturbance correlation method adaptive to the current operational state. The system dynamically switches between two correlation modes: one for fixed state (correlating disturbance from both devices) and one for separated state (correlating only imaging device disturbance). This dynamic adaptation allows the system to maintain high versatility while managing complexity through state-based logic rather than multiple independent systems.
3Difficulty of detecting and measuring
If disturbance information from both devices is always correlated, then detection capability is improved, but loss of information increases due to irrelevant disturbance data
Solution Approach 1:
The patent applies the extraction principle by selectively removing irrelevant disturbance information from the correlation process. When devices are in a separated state, the system extracts and uses only the disturbance information from the imaging device, excluding disturbance information from the information processing device that would be irrelevant. This selective extraction maintains high detection capability while preventing information loss by filtering out unnecessary data based on the operational state.
Data Source
AI summary
An imaging system 10 includes a control unit 15. An imaging device 20 and an information processing device 60 include a fixed state in which the devices are fixed to each other, and a separated state in which the devices are separated from each other. The control unit 15 correlates disturbance information, which indicates disturbance affecting image data or audio data generated by the imaging device 20, with image data generated by the imaging device 20 at the time of disturbance on the basis of fixation/separation information indicating the fixed state or the separated state of the imaging device 20 and the information processing device 60. Accordingly, a low-quality portion in a captured image is easily detectable on the basis of disturbance information correlated with image data.