• DocumentCode
    2123890
  • Title

    Automatic reflection removal using reflective layer image information

  • Author

    Prakash, Divya ; Kalwad, Pramati ; Peddigari, Venkat ; Srinivasa, Phanish

  • Author_Institution
    IIT Kanpur, Kanpur, India
  • fYear
    2015
  • fDate
    9-12 Jan. 2015
  • Firstpage
    548
  • Lastpage
    551
  • Abstract
    This paper tries to address the problem of removing unwanted reflection layer from the image mixtures. These reflections may occur due to semi-reflective glass mediums. This demands separating the input image into the reflecting layer and the subject layer, also known as, background layer which is the actual scene itself. But decomposing a single input image into these two layers is a massively ill-posed problem with infinite combinations of decomposition. This type of problem falls under the category of blind source separation. There are ample classical separation approaches available in the literature which either requires multiple images or works on a single image with user assistance. In this paper we propose a method for separating the two layers from a single input image without any user or human intervention using some prior information about the reflective layer.
  • Keywords
    blind source separation; image processing; automatic reflection removal; background layer; blind source separation; ill-posed problem; reflective layer image information; semi-reflective glass mediums; user assistance; Blind source separation; Cameras; Computer vision; Conferences; Consumer electronics; Laplace equations; Blind source separation (BSS); Expectation Maximization (EM); Image Processing; MSER; SURF; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ICCE), 2015 IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4799-7542-6
  • Type

    conf

  • DOI
    10.1109/ICCE.2015.7066520
  • Filename
    7066520