• DocumentCode
    467791
  • Title

    Image Deblurring with Odd Symmetry Discrete Neumann Boundary Condition

  • Author

    Chen, Fen ; Yu, Li

  • Author_Institution
    Univ. of Electron. Sci. & Technol. of China, Chengdu
  • Volume
    3
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    1749
  • Lastpage
    1752
  • Abstract
    In the work [1], Michael K. NG et al introduced Neumann boundary condition (BC) for blurring models and provided fast algorithms for image deblurring. Whereas only even symmetric discrete Neumann BC was discussed in their paper. We present in this paper odd symmetric discrete Neumann BC for image deblurring and its corresponding diagonalization algorithm as a supplement to their work. Numerical results are given for comparison. Our work could illustrate that discrete approximations of each continuous problem would bring a new level of variety and complexity, often in the boundary conditions.
  • Keywords
    boundary-value problems; image restoration; matrix algebra; diagonalized transform matrix; image deblurring; odd symmetry discrete Neumann boundary condition; Automation; Boundary conditions; Cybernetics; Degradation; Discrete cosine transforms; Educational institutions; Image processing; Image restoration; Machine learning; Symmetric matrices; Deblurring; Discrete cosine transform; Even symmetry; Neumann boundary condition; Odd symmetry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370430
  • Filename
    4370430