• DocumentCode
    170467
  • Title

    Photometric linear relation based ghost-free exposure fusion approach

  • Author

    Chunmeng Wang ; Changhe Tu

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
  • fYear
    2014
  • fDate
    16-18 May 2014
  • Firstpage
    326
  • Lastpage
    330
  • Abstract
    Exposure fusion is a high dynamic range (HDR) image generation method for directly fusing multi-exposure images of the same static scene. However, if the captured scene is dynamic with moving objects, serious ghost artefacts will appear in the moving regions of the generated HDR image. In this paper, we propose a novel ghost-free exposure fusion method based on photometric relation to detect moving regions in the dynamic scene. Our method makes full use of the linear relation between brightness and exposure time, instead of only using photometric order relation. Our method is easy to implement without camera response function estimate and complicated tone mapping operations. This method detects ghost regions better than the previous photometric order relation based method and generate the fused image with less artefacts. Many experimental results with different dynamic scenes show the effectiveness of our method.
  • Keywords
    brightness; image fusion; object detection; HDR generation; brightness; exposure time; high dynamic range image generation method; moving region detection; photometric linear relation based ghost-free exposure fusion approach; photometric relation; Brightness; Cameras; Dynamic range; Laplace equations; Noise; Radiometry; HDR; exposure fusion; ghost removal; high dynamic range image; photometric relation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Progress in Informatics and Computing (PIC), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-2033-4
  • Type

    conf

  • DOI
    10.1109/PIC.2014.6972351
  • Filename
    6972351