Color calibration of recovering high dynamic range images

Tzern Ru Chou, Shih Kai Chang

    研究成果: 書貢獻/報告類型會議貢獻

    3 引文 斯高帕斯(Scopus)

    摘要

    In this paper, we present a method of recovering a high dynamic range (HDR) image from several ones of low range and then calibrating its color. Our goal is not only composing the HDR image with more details clearly, but also reducing the color distortion during the tone mapping process. The algorithm we designed composes multiple color images with different exposure levels of the same scene into a single high dynamic range one by a proposed matrix, named color calibration matrix (CCM). The GretagMacbeth color checker was used to evaluate the color distortions of images captured by a camera under various exposure levels. These camera distortion characteristics were modeled and estimated by the CCM. The experimental results illustrated that the method we proposed reduces significantly the unnatural color distortion caused by the lightness changes of the captured original images of low dynamic range (LDR). It seemed that the designed algorithm can work well as an accurate HDR recovering method especially under the demand for the correct color appearance.

    原文英語
    主出版物標題Proceedings - International Conference on Computer Science and Software Engineering, CSSE 2008
    頁面286-289
    頁數4
    DOIs
    出版狀態已發佈 - 2008 十二月 1
    事件International Conference on Computer Science and Software Engineering, CSSE 2008 - Wuhan, Hubei, 中国
    持續時間: 2008 十二月 122008 十二月 14

    出版系列

    名字Proceedings - International Conference on Computer Science and Software Engineering, CSSE 2008
    6

    其他

    其他International Conference on Computer Science and Software Engineering, CSSE 2008
    國家中国
    城市Wuhan, Hubei
    期間08/12/1208/12/14

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Science Applications
    • Software

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