Multispectral Camera Aperture Segmentation for Interference Removal
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Solution Overview
Problem
Existing multispectral imaging technologies face challenges in generating accurate multispectral images due to interference issues, such as changes in polarization degree caused by refraction or differences between development and actual environments, leading to incorrect interference removal.
Innovation Solution
The proposed method involves a pupil split type multispectral camera with multiple aperture regions and optical filters, where interference removal parameters are acquired through preliminary and main imaging steps, allowing for effective interference removal by minimizing differences between image signals from different aperture regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If interference removal parameters are acquired without preliminary imaging, then the imaging process is simpler and faster, but the interference removal accuracy deteriorates due to incorrect parameters
Solution Approach 1:
The patent applies preliminary action by performing preliminary imaging to acquire reference image signals before the main imaging process. These reference signals are used to calculate accurate interference removal parameters, which are then applied during main imaging to remove interference from the captured image signals, thereby improving interference removal accuracy without requiring complex real-time calculations during the actual imaging process
2Device complexity
If all aperture regions are used simultaneously, then the imaging process is simpler, but the interference between different wavelength ranges increases
Solution Approach 1:
The patent applies segmentation by dividing the aperture into multiple aperture regions, each equipped with specific optical filters for different wavelength ranges. The image sensor captures image signals from each aperture region separately, allowing the processing unit to handle different wavelength information independently and reduce interference between wavelength ranges while maintaining overall imaging functionality
3Measurement precision
If interference removal parameters are calculated theoretically, then the processing is faster, but the accuracy deteriorates due to differences between development and actual environments
Solution Approach 1:
The patent applies copying by capturing actual reference image signals during preliminary imaging under the same environmental conditions as the main imaging process. These reference signals serve as real-world copies that account for actual environmental factors such as polarization degree changes and refraction, allowing accurate interference removal parameters to be calculated from actual data rather than theoretical models, thereby improving accuracy while maintaining processing efficiency
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables the acquisition of multispectral images with improved quality by accurately removing interference, ensuring correct wavelength characteristics and reducing ghost and flare effects.
Implementation Method 1
a plurality of optical filters that are disposed in the plurality of aperture regions and transmit a plurality of lights of which at least a part of wavelength ranges are different from each other
Implementation Method 2
an image sensor that outputs a plurality of image signals corresponding to the plurality of lights
Data Source
AI summary
An embodiment of the present invention provides an information processing method, an information processing apparatus, an information processing program, and an information processing system that can acquire a multispectral image having a good image quality. In an information processing method according to an aspect of the present invention, a processor performs a first parameter acquisition step of acquiring first interference removal parameters to be used for interference removal of the plurality of image signals, an information acquisition step of acquiring first image signals, which are the plurality of image signals corresponding to the plurality of lights, as information indicating wavelength characteristics of a subject via first imaging, and a second parameter acquisition step of acquiring second interference removal parameters to be used for interference removal of second image signals, which are a plurality of image signals obtained via second imaging, with reference to the information acquired via the first imaging.