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LDR Image to HDR Image Mapping with Overexposure Preprocessing Yongqing HUO Fan YANG Vincent BROST Bo GU Publication IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Vol.E96-A No.6 pp.1185-1194 Publication Date: 2013/06/01 Online ISSN: 1745-1337 DOI: 10.1587/transfun.E96.A.1185 Print ISSN: 0916-8508 Type of Manuscript: Special Section PAPER (Special Section on Circuit, System, and Computer Technologies) Category: Keyword: HDR, overexposed area, highlight removal, principal component analysis, image quality metric, Full Text: PDF(5.4MB)>>
Summary: 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. | ||||||||||
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