Combining infrared and visible images using novel transform and statistical information

Jeongmin Bae, Bonwha Ku, David K. Han, Hanseok Ko

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

    3 Citations (Scopus)

    Abstract

    This paper proposes a novel combining method of infrared (IR) and visible images based on a Discrete Wavelet Frame (DWF) approach. In contrast to existing methods, IR image is transformed first using statistical information of the visible image to emphasize relevant information. In a multiscale domain, we then assign appropriate weights to each pixel of sub-band approximation images through pixel level weighted average for emphasizing relevant information of the IR image while keeping texture information of the visible image. Representative experiments show that the proposed method outperforms exiting methods in image quality.

    Original languageEnglish
    Title of host publicationProceedings - 2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012
    Pages149-153
    Number of pages5
    DOIs
    Publication statusPublished - 2012
    Event2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012 - Beijing, China
    Duration: 2012 Sept 182012 Sept 21

    Publication series

    NameProceedings - 2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012

    Other

    Other2012 IEEE 9th International Conference on Advanced Video and Signal-Based Surveillance, AVSS 2012
    Country/TerritoryChina
    CityBeijing
    Period12/9/1812/9/21

    Keywords

    • Image fusion
    • Image processing
    • LWIR

    ASJC Scopus subject areas

    • Computer Networks and Communications

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