Image Pickup System Spectral Estimation Reliability Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image pickup systems face challenges in accurately estimating spectral characteristics of subjects or illumination light due to noise, motion blur, and interpolation errors, which affect the reliability and accuracy of spectral estimation.
Innovation Solution
An image pickup system that includes a verification unit for assessing the reliability of image signals, a correction unit for processing these signals based on reliability, and an estimation unit for accurately estimating spectral characteristics using multiple image signals with different spectral characteristics obtained through controlled variations in the image sensor system or multiple image sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple image signals with different spectral characteristics are obtained through multiple shooting operations, then spectral estimation accuracy can be improved, but the system becomes more susceptible to noise, motion blur, and interpolation errors
Solution Approach 1:
The patent applies preliminary action by performing verification of reliability on image signals before using them for spectral estimation. The verification unit assesses reliability metrics (noise level, motion blur, interpolation error) of each image signal in advance, and the correction unit pre-processes signals by correcting or excluding those with poor reliability, thereby preventing degradation of spectral estimation accuracy before it occurs
Solution Approach 2:
The patent implements feedback by using the verification unit to continuously assess the reliability of image signals and provide this information back to the correction unit. The correction unit then adjusts the image signals based on this feedback, creating a closed-loop system that maintains high reliability while enabling accurate spectral estimation through multiple shooting operations
2Adaptability or versatility
If conventional methods use inverse matrix or pseudo inverse matrix calculation for spectral estimation, then spectral characteristic can be estimated without depending on illumination light, but the estimation accuracy deteriorates due to noise and interpolation errors in the image signals
Solution Approach 1:
The patent applies preliminary action by performing verification and correction processing on image signals before they are input to the spectral estimation unit. This pre-processing ensures that only high-reliability image signals are used in the inverse matrix or pseudo inverse matrix calculations, preventing noise and interpolation errors from degrading the spectral estimation accuracy while maintaining illumination independence
Data Source
AI summary
An image pickup system includes a verification unit for verifying a reliability related to a plurality of image signals obtained by an image-pickup operation performed by setting a spectral characteristic of a color image sensor system different; a correction unit for performing a correction processing on the plurality of image signals on the basis of the reliability; and an estimation unit for performing an estimation for an unknown spectral characteristic related to a subject or an illumination light on the basis of the plurality of image signals on which the correction processing is performed.