A novel framework for extremely low-light video enhancement

Minjae Kim, Dubok Park, David K. Han, Hanseok Ko

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

    14 Citations (Scopus)

    Abstract

    In this paper, we propose a novel framework for enhancement of very low-light video. For noise reduction, motion adaptive temporal filtering based on the Kalman structured updating is presented. Dynamic range of denoised video is increased by adaptive adjustment of RGB histograms. Finally, remaining noise is removed using Non-local means (NLM) denoising. The proposed method exploits color filter array (CFA) raw data for achieving low memory consumption.

    Original languageEnglish
    Title of host publication2014 IEEE International Conference on Consumer Electronics, ICCE 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages91-92
    Number of pages2
    ISBN (Print)9781479912919
    DOIs
    Publication statusPublished - 2014
    Event2014 IEEE International Conference on Consumer Electronics, ICCE 2014 - Las Vegas, NV, United States
    Duration: 2014 Jan 102014 Jan 13

    Publication series

    NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
    ISSN (Print)0747-668X

    Other

    Other2014 IEEE International Conference on Consumer Electronics, ICCE 2014
    Country/TerritoryUnited States
    CityLas Vegas, NV
    Period14/1/1014/1/13

    ASJC Scopus subject areas

    • Industrial and Manufacturing Engineering
    • Electrical and Electronic Engineering

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