LDR image to HDR image mapping with overexposure preprocessing

Yongqing Huo, Fan Yang, Vincent Brost, Bo Gu

    研究成果: Article査読

    7 被引用数 (Scopus)


    Due to the growing popularity of High Dynamic Range (HDR) images and HDR displays, a large amount of existing Low Dynamic Range (LDR) images are required to be converted to HDR format to benefit HDR advantages, which give rise to some LDR to HDR algorithms. Most of these algorithms especially tackle overexposed areas during expanding, which is the potential to make the image quality worse than that before processing and introduces artifacts. To dispel these problems, we present a new LDR to HDR approach, unlike the existing techniques, it focuses on avoiding sophisticated treatment to overexposed areas in dynamic range expansion step. Based on a separating principle, firstly, according to the familiar types of overexposure, the overexposed areas are classified into two categories which are removed and corrected respectively by two kinds of techniques. Secondly, for maintaining color consistency, color recovery is carried out to the preprocessed images. Finally, the LDR image is expanded to HDR. Experiments show that the proposed approach performs well and produced images become more favorable and suitable for applications. The image quality metric also illustrates that we can reveal more details without causing artifacts introduced by other algorithms.

    ジャーナルIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
    出版ステータスPublished - 2013 6

    ASJC Scopus subject areas

    • 電子工学および電気工学
    • コンピュータ グラフィックスおよびコンピュータ支援設計
    • 応用数学
    • 信号処理


    「LDR image to HDR image mapping with overexposure preprocessing」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。