Deep Color Constancy Using Multi-Band NIR

Jeong Won Ha, Dong Keun Han, Min Je Park, Jong Ok Kim

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    This paper proposes deep a deep color constancy method that exploits multi-band NIR. In recent years, NIR col-orization has been popularly studied in literature. Our previous work shows that multi-band NIR is more useful than a single band NIR in the conversion of NIR-to-RGB. The proposed method exploits this relationship in illuminant estimation. The proposed network consists of two subnets that learn local illuminant and its confidence weight respectively. With multi-band NIR images, we can improve the confidence of local illuminant estimation. While most conventional methods focus on only spatial information of RGB image, we propose to utilize deep spatio-spectral features for color constancy. The experimental results show that the proposed multi-band NIR method performs better than the methods with RGB only or RGB + one band NIR.

    Original languageEnglish
    Title of host publicationProceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages779-783
    Number of pages5
    ISBN (Electronic)9786165904773
    DOIs
    Publication statusPublished - 2022
    Event2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022 - Chiang Mai, Thailand
    Duration: 2022 Nov 72022 Nov 10

    Publication series

    NameProceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022

    Conference

    Conference2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022
    Country/TerritoryThailand
    CityChiang Mai
    Period22/11/722/11/10

    Bibliographical note

    Funding Information:
    This work is supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2020R1A4A4079705) and in part by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2020-0-01749) supervised by the IITP(Institute of Information Communications Technology Planning Evaluation).

    Publisher Copyright:
    © 2022 Asia-Pacific of Signal and Information Processing Association (APSIPA).

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Information Systems
    • Signal Processing

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