• DocumentCode
    2426046
  • Title

    Multi-exposure image fusion for dynamic scenes without ghost effect

  • Author

    Vanmali, Ashish V. ; Kelkar, Samrudha G. ; Gadre, Vikram M.

  • Author_Institution
    Dept. of Electr. Eng., IIT Bombay, Mumbai, India
  • fYear
    2015
  • fDate
    Feb. 27 2015-March 1 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Fusion of multi-exposure images for dynamic scenes often show ghost effect. This is mainly due to motion blur present in the image sequences or due to presence of totally new object. Detection and removal of such ghost effect plays an important role for automatically generating HDR images of dynamic scenes. In this paper, we present a simple, yet effective method for multi-exposure image fusion for dynamic scenes with new objects without ghost effect. The proposed method is carried out in four steps, viz.: weight map generation, new object detection, modification of weight maps and finally exposure fusion using modified weight maps. The experimental result show that our method produce HDR images without noticeable ghost effect.
  • Keywords
    image fusion; image motion analysis; image sequences; object detection; HDR images; dynamic scenes; ghost effect; image sequences; multiexposure image fusion; object detection; weight map generation; Dynamic range; Dynamics; Heuristic algorithms; Image color analysis; Image fusion; Image sequences; Object detection; Exposure fusion; Ghost effect; High dynamic range image; New object detection; Weight map;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (NCC), 2015 Twenty First National Conference on
  • Conference_Location
    Mumbai
  • Type

    conf

  • DOI
    10.1109/NCC.2015.7084823
  • Filename
    7084823