VGEF: Contrast enhancement of dark images using value gap expansion force and sorted histogram equalization

Youngbae Kim, Jin Hwan Kim, Chang-Su Kim

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

    2 Citations (Scopus)

    Abstract

    We propose a novel contrast enhancement method for dark images using the value gap expansion force (VGEF) and the sorted histogram equalization. Based on the observation that the inter-pixel relationship is analogous to the electrostatic force, we define the pixel field spread around each pixel and the pixel mass at each pixel position. We compute the VGEF exerted to a pixel by multiplying the pixel field and the pixel mass. Also, we sort the pixels of the same value into 5 clusters according to their VGEF magnitudes to reduce contour artifacts in the enhanced image. Finally, we obtain output pixel values using the transformation function that equalizes the sorted histogram. Experimental results demonstrate that the proposed algorithm effectively enhances the contrast of dark images, and is applicable to the performance improvement of the saliency detection as well.

    Original languageEnglish
    Title of host publication2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Print)9786163618238
    DOIs
    Publication statusPublished - 2014 Feb 12
    Event2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, Thailand
    Duration: 2014 Dec 92014 Dec 12

    Other

    Other2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
    Country/TerritoryThailand
    CityChiang Mai
    Period14/12/914/12/12

    ASJC Scopus subject areas

    • Signal Processing
    • Information Systems

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