• DocumentCode
    691954
  • Title

    Fast Image Blending and Deghosting for Panoramic Video

  • Author

    Chen-Hong Yuan ; Jeng-Shyang Pan ; Ming-Hwa Sheu ; Tzu-Hsiung Chen

  • Author_Institution
    Innovative Inf. Ind. Res. Center, Harbin Inst. of Technol., Shenzhen, China
  • fYear
    2013
  • fDate
    16-18 Oct. 2013
  • Firstpage
    104
  • Lastpage
    107
  • Abstract
    The technology of panoramic image construction is widely used in many conditions. As the increasingly demand of monitoring system application, the attribute of real-time is more important during the panoramic construction. This paper describes a method of fast building panoramic video and output frames in real-time. SURF algorithm is employed to extract features and a new method is developed to eliminate matching mistakes in this work. As traditional transform method use only one homography matrix, the stitch error in detail is obvious. In this paper the modified dual-homography is proposed to improve the stitch performance. Ghosting effect is a universal problem in image stitching and difficult to avoid. This topic use image subtraction and smooth transition blending method to avoid ghost. Since this topic skips the seam finding process, so the time consumption is low and the method can achieve real-time requirement.
  • Keywords
    feature extraction; image enhancement; image reconstruction; transforms; video signal processing; SURF algorithm; feature extraction; ghosting effect; image blending; image deghosting; image stitching; image subtraction; modified dual-homography; panoramic image construction; panoramic video; smooth transition blending method; transform method; Computer vision; Educational institutions; Equations; Feature extraction; Mathematical model; Real-time systems; Streaming media; deghosting; homography; panoramic video;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing, 2013 Ninth International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2013.35
  • Filename
    6846591