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Updated: Apr 11, 2026

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

Published on: August 22, 2019

A practical one-shot multispectral imaging system using a single image sensor.

Yusuke Monno, Sunao Kikuchi, Masayuki Tanaka

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|May 27, 2015

Summary

This summary is machine-generated.

This study introduces a novel multispectral demosaicking algorithm and filter array pattern for single-sensor imaging. The new method enhances color fidelity and outperforms existing techniques for multispectral imaging systems.

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Published on: September 4, 2013

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Last Updated: Apr 11, 2026

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Published on: September 4, 2013

Area of Science:

Digital imaging
Computational photography
Image processing

Background:

Single-sensor color imaging utilizes Bayer color filter arrays (CFAs) and demosaicking.
Multispectral filter arrays (MSFAs) extend CFA capabilities for one-shot multispectral imaging without increased size or cost.
Multispectral demosaicking is challenging due to sparse sampling in MSFAs.

Purpose of the Study:

To propose a high-performance multispectral demosaicking algorithm.
To introduce a novel MSFA pattern optimized for the proposed algorithm.
To improve color fidelity in multispectral imaging.

Main Methods:

Developed a multispectral demosaicking algorithm using a guided filter for spectral band interpolation.
Designed a novel MSFA pattern maintaining high G-band sampling density and enabling adaptive kernel estimation.
Utilized the G-band as a guide image for interpolation with an adaptive kernel.

Main Results:

The proposed algorithm and MSFA pattern outperform existing multispectral demosaicking methods.
Achieved superior color fidelity compared to conventional Bayer CFA systems.
Demonstrated practical applications using a prototype multispectral camera.

Conclusions:

The proposed approach effectively addresses the challenges of multispectral demosaicking.
The novel MSFA pattern and guided filter-based algorithm significantly improve image quality.
The method shows promise for real-world multispectral imaging applications.