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    KCI등재

    Estimation of Illumination Spectrum from a Hyperspectral Image

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    https://www.riss.kr/link?id=A106169618

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Illumination separation in the red, green, blue (RGB) color space has been an essential topic for color constancy. A simple and non-iterative solution for hyperspectral illumination estimation is proposed in this study, which is based on the assumption that reflectance of natural surfaces can be modeled as low-dimensional linear space. The estimated illumination depends on the null space of the reflectance and the correlation of the hyperspectral image (HSI). This derivation is expected to inspire new theoretical investigations into illumination estimation.
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    Illumination separation in the red, green, blue (RGB) color space has been an essential topic for color constancy. A simple and non-iterative solution for hyperspectral illumination estimation is proposed in this study, which is based on the assumptio...

    Illumination separation in the red, green, blue (RGB) color space has been an essential topic for color constancy. A simple and non-iterative solution for hyperspectral illumination estimation is proposed in this study, which is based on the assumption that reflectance of natural surfaces can be modeled as low-dimensional linear space. The estimated illumination depends on the null space of the reflectance and the correlation of the hyperspectral image (HSI). This derivation is expected to inspire new theoretical investigations into illumination estimation.

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    목차 (Table of Contents)

    • Abstract
    • 1. Introduction
    • 2. Estimation of Illumination
    • 3. Experimental Results
    • 4. Conclusion
    • Abstract
    • 1. Introduction
    • 2. Estimation of Illumination
    • 3. Experimental Results
    • 4. Conclusion
    • References
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    참고문헌 (Reference)

    1 Y. Zheng, "Illumination and reflectance spectra separation of a hyperspectral image meets low-rank matrix factorization" 1779-1787, 2015

    2 X. Chen, "Illumination and Reflectance Spectra Separation of Hyperspectral Image Data under Multiple Illumination Conditions" 18 : 194-199, 2017

    3 D. Cheng, "Illuminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution" 31 (31): 1049-1058, 2014

    4 X. Cao, "Hyperspectral image classification with markov random fields and a convolutional neural network" 27 (27): 2354-2367, 2018

    5 W. Cho, "Hyperspectral face recognition using improved inter-channel alignment based on qualitative prediction models" 24 (24): 27637-27662, 2016

    6 Y. Zhou, "Gaussian mixture model representation of endmember variability in hyperspectral unmixing" 27 (27): 2242-2256, 2018

    7 L. T. Maloney, "Evaluation of linear models of surface spectral reflectance with small numbers of parameters" 3 (3): 1673-1683, 1986

    8 A. Gijsenij, "Computational color constancy: Survey and experiments" 20 (20): 2475-2489, 2011

    1 Y. Zheng, "Illumination and reflectance spectra separation of a hyperspectral image meets low-rank matrix factorization" 1779-1787, 2015

    2 X. Chen, "Illumination and Reflectance Spectra Separation of Hyperspectral Image Data under Multiple Illumination Conditions" 18 : 194-199, 2017

    3 D. Cheng, "Illuminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution" 31 (31): 1049-1058, 2014

    4 X. Cao, "Hyperspectral image classification with markov random fields and a convolutional neural network" 27 (27): 2354-2367, 2018

    5 W. Cho, "Hyperspectral face recognition using improved inter-channel alignment based on qualitative prediction models" 24 (24): 27637-27662, 2016

    6 Y. Zhou, "Gaussian mixture model representation of endmember variability in hyperspectral unmixing" 27 (27): 2242-2256, 2018

    7 L. T. Maloney, "Evaluation of linear models of surface spectral reflectance with small numbers of parameters" 3 (3): 1673-1683, 1986

    8 A. Gijsenij, "Computational color constancy: Survey and experiments" 20 (20): 2475-2489, 2011

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2023 평가 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
    2020-01-01 등재 등재학술지 유지 (해외등재 학술지 평가) KCI등재
    2018-05-01 등재 SCOPUS 등재 (기타) KCI등재
    2016-01-01 등재 등재후보학술지 선정 (신규평가) KCI등재후보
    2014-01-21 학회명변경 영문명 : The Institute Of Electronics Engineers Of Korea -> The Institute of Electronics and Information Engineers
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    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0 0 0
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
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