• DocumentCode
    1472931
  • Title

    Adaptive nonlocal filtering: a fast alternative to anisotropic diffusion for image enhancement

  • Author

    Fischl, Bruce ; Schwartz, Eric L.

  • Author_Institution
    NMR Center, Massachusetts Gen. Hosp., Charlestown, MA, USA
  • Volume
    21
  • Issue
    1
  • fYear
    1999
  • fDate
    1/1/1999 12:00:00 AM
  • Firstpage
    42
  • Lastpage
    48
  • Abstract
    Nonlinear anisotropic diffusion algorithms provide significant improvement in image enhancement as compared to linear filters. However, the excessive computational cost of solving nonlinear PDEs precludes their use in real-time vision applications. We show that two orders of magnitude speed improvement is provided by a new image filtering paradigm in which an adaptively determined vector field specifies nonlocal application points for an image filter
  • Keywords
    adaptive filters; filtering theory; image enhancement; adaptive nonlocal filtering; adaptively determined vector field; image enhancement; image filtering; Adaptive filters; Anisotropic magnetoresistance; Computational efficiency; Filtering; Image enhancement; Kernel; Noise reduction; Nonlinear filters; Table lookup; Vectors;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.745732
  • Filename
    745732
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1472931