Multispectral Image Processing for Crosstalk Correction

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Solution Overview

Problem

Existing image data processing systems using band-pass and polarization filters face issues with crosstalk due to fluctuations in light intensity, leading to incorrect multispectral images when used in environments different from the development environment.

Innovation Solution

A multispectral camera system that includes an image data processing device capable of estimating spectral characteristics and correcting images using interference removal matrices, calculated based on the actual imaging environment, to suppress crosstalk and generate accurate multispectral images.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If image data is processed using fixed interference removal parameters from a specific environment, then image processing can be performed, but crosstalk occurs due to fluctuations in light amounts and spectral characteristics in real environments

Engineering Contradiction:

Improveadaptability to different environmentsVSAvoidaccuracy of spectral characteristic measurement

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent applies dynamics by transitioning from fixed interference removal parameters to dynamic parameter estimation. The processor estimates spectral characteristics and calculates interference removal parameters in real-time based on actual image data, allowing the system to adapt to varying environmental conditions while maintaining measurement precision.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent implements parameter changes by modifying the interference removal parameters based on estimated spectral characteristics. The system calculates new interference removal parameters from actual image data rather than using predetermined values, enabling accurate processing across different environments by adjusting parameters to match real-world conditions.

Inventive Principle:

Principle #35Parameter changes

2Device complexity

If spectral characteristics of the subject are assumed to be uniform, then image processing is simplified, but crosstalk cannot be suppressed in real environments with varying spectral characteristics

Engineering Contradiction:

Improvecomplexity of image processingVSAvoidreliability of multispectral image generation

Core Design Contradiction:

Device complexityVSReliability

Solution Approach 1:

The patent applies feedback by using estimated spectral characteristics from the actual image data to adjust the interference removal parameters. The system continuously refines its understanding of spectral characteristics and uses this feedback to improve the accuracy of multispectral image generation, ensuring reliable results without assuming uniform spectral properties.

Inventive Principle:

Principle #23Feedback

3Adaptability or versatility

If interference removal parameters are calculated in real-time from image data, then adaptability to real environments is improved, but processing time increases

Engineering Contradiction:

Improveadaptability to real environmentsVSAvoidimage processing time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by pre-storing spectral sensitivity characteristics of the image sensor and other necessary parameters before actual image processing. This allows the system to perform real-time estimation of spectral characteristics and calculation of interference removal parameters without requiring all computations to be done from scratch, thereby reducing processing time while maintaining adaptability.

Inventive Principle:

Principle #10Preliminary action

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

The system effectively removes interference and generates high-quality multispectral images by correcting for light fluctuations, ensuring accurate spectral representation across varying environments.

Implementation Method 1

imaging light of a subject, which has been spectrally separated into a plurality of wavelengths through a band-pass filter

Methodology Applied

Scientific EffectSpectral separation: Filter (optical)

Implementation Method 2

an image sensor provided with a color filter and a polarizer

Methodology Applied

Scientific EffectPhotoelectric effect: Photoelectric Effect

Data Source

PatentUS12615443B2Image data processing device and image data processing method

Publication Date: 2026.04.28 FUJIFILM CORP

AI summary

Provided are an image data processing device and an image data processing method that can generate a high-quality image. An image data processing device for processing first image data obtained by imaging light of a subject, which has been spectrally separated into a plurality of wavelengths through a band-pass filter, with an image sensor includes a processor. The processor is configured to acquire the first image data, to calculate a feature amount in a transmission wavelength range of the band-pass filter on the basis of the first image data, and to calculate information of spectral characteristics of the subject on the basis of the feature amount.