Adaptive height-modified histogram equalization and chroma correction in YCbCr color space for fast backlight image compensation

Bonghyup Kang, Changwon Jeon, David K. Han, Hanseok Ko

    Research output: Contribution to journalArticlepeer-review

    21 Citations (Scopus)

    Abstract

    Automatic exposure controls in commercially available cameras often encounter difficulties in capturing scenes with backlight luminance which dominates the entire image. An Adaptive Height-Modified Histogram Equalization (AHMHE) algorithm is proposed as a compensation technique for backlight images. It simultaneously enhances contrast in both the dark and the bright areas without creating regions of degraded local contrast. Moreover AHMHE is an adaptive algorithm: thus it requires minimal user input, and its reduced computational requirement makes it suitable for real-time application. In addition to AHMHE, a chroma correction technique was applied to chroma components in the YCbCr color space to produce more vivid color images. A series of subjective and index evaluations were conducted to measure the resultant image quality improvements by the AHMHE and the chroma correction algorithms.

    Original languageEnglish
    Pages (from-to)557-568
    Number of pages12
    JournalImage and Vision Computing
    Volume29
    Issue number8
    DOIs
    Publication statusPublished - 2011 Jul

    Bibliographical note

    Funding Information:
    This research was supported in part by Samsung Techwin R&D Joint Lab fund and partially by a Korea University grant.

    Copyright:
    Copyright 2017 Elsevier B.V., All rights reserved.

    Keywords

    • Backlight compensation
    • Contrast enhancement
    • Histogram equalization
    • Image enhancement
    • Saturation

    ASJC Scopus subject areas

    • Signal Processing
    • Computer Vision and Pattern Recognition

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