LDR image to HDR image mapping with overexposure preprocessing

Yongqing Huo, Fan Yang, Vincent Brost, Bo Gu

    Research output: Contribution to journalArticlepeer-review

    7 Citations (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.

    Original languageEnglish
    Pages (from-to)1185-1194
    Number of pages10
    JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
    Issue number6
    Publication statusPublished - 2013 Jun


    • HDR
    • Highlight removal
    • Image quality metric
    • Overexposed area
    • Principal component analysis

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Computer Graphics and Computer-Aided Design
    • Applied Mathematics
    • Signal Processing


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