• DocumentCode
    937645
  • Title

    Deconvolution and Weiner filtering of short-range radiometric images

  • Author

    Bocquet, Bertrand ; Ait-Abdelmalek, R. ; Leroy, Y.

  • Author_Institution
    Univ. des Sci. et Technol. de Lille, Villeneueve d´Ascq, France
  • Volume
    29
  • Issue
    18
  • fYear
    1993
  • Firstpage
    1628
  • Lastpage
    1629
  • Abstract
    A radiometric probe positioned at different points on the surface of a lossy medium can detect the presence of a sub-surface thermal noise source. Radiometric images are obtained by a combination of measured data and calculated weighting functions of the probe associated with the underlying lossy materials. The authors show that the quality of these images and their spatial resolution can be greatly improved by Wiener filtering deconvolution of their corresponding data.
  • Keywords
    filtering and prediction theory; medical image processing; microwave imaging; patient diagnosis; radiometry; thermal noise; 3 GHz; Weiner filtering; biological tissue; breast tissue; lossy medium; microwave radiometric imaging; radiometric probe; short-range radiometric images; sub-surface thermal noise source; weighting functions;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19931084
  • Filename
    233084