• DocumentCode
    301245
  • Title

    Multi-channel restoration of electron micrographs

  • Author

    Vrhel, Michael ; Tru, Benes L.

  • Author_Institution
    Nat. Centre for Res. Resources, Nat. Inst. of Health, Bethesda, MD, USA
  • Volume
    2
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    516
  • Abstract
    We introduce a projection based multi-channel restoration method which is useful in cases for which there is no a priori information about the input signal. The method is especially helpful in situations where a large number of specimens are later combined to achieve additional noise reduction. We describe the approach and discuss the problem of restoring electron micrographs. The method does require knowledge of the impulse response of the degradation. For this reason, the sensitivity of the approach to uncertainty in this degradation is investigated through simulation
  • Keywords
    deconvolution; electron microscopy; image restoration; interference suppression; degradation uncertainty; electron micrographs; input signal; multichannel deconvolution; noise reduction; projection based multichannel restoration method; sensitivity; simulation; Biomedical computing; Biomedical engineering; Degradation; Distortion; Electron microscopy; Focusing; Image restoration; Noise reduction; Signal restoration; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1995. Proceedings., International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-7310-9
  • Type

    conf

  • DOI
    10.1109/ICIP.1995.537529
  • Filename
    537529