• DocumentCode
    598874
  • Title

    Image compostion based on details preserved

  • Author

    Wu Hao ; Miao Zhenjiang

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2012
  • fDate
    16-18 Oct. 2012
  • Firstpage
    597
  • Lastpage
    601
  • Abstract
    Image composition is a attractive domain and there are some classical composition technologies. Possion composition and gradient domain are some typical and traditional composition technologies. Their main function is to create plausible composited image. We can use the traditional methods to get a realistic visual results. However, after the composition we found that the details is not preserved, especially for the boundary of the composited image. We use some innovative methods to deal with the problem and there are two main stages in the paper. The first stage is that we introduce the model of our filter and compare it to the other filter. The second stage is that we use the filter and image pyramid to preserve the composited image´s details after the image composition, especially for the boundary.
  • Keywords
    filtering theory; gradient methods; image processing; stochastic processes; Possion composition; classical composition technologies; filter; gradient domain; image composition; image pyramid; Educational institutions; Equations; Filtering algorithms; Image edge detection; Laplace equations; Mathematical model; Poisson equations; Image composition; details preserved; details preserved filter; image pyramid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2012 5th International Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4673-0965-3
  • Type

    conf

  • DOI
    10.1109/CISP.2012.6469663
  • Filename
    6469663