• DocumentCode
    3336706
  • Title

    Image reconstruction of millimeter-wave radiometers with multi-quadric splines

  • Author

    Sarkis, Michel

  • Author_Institution
    Sensing Syst. Lab. (SSL), Sony Deutschland GmbHm, Stuttgart, Germany
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    1405
  • Lastpage
    1408
  • Abstract
    We present in this work a robust method to reconstruct millimeter-wave images from passive sensors. The method estimates each pixel of the image by applying a locally adaptive smoothing filter to the samples of the sensor. The filter assigns for each sample in the neighborhood of the pixel under consideration a weighting factor that determines its contribution. The filter preserves the piecewise smoothness of the image since it applies the multi-quadric splines combined with some adaptive distances to smooth the samples while preserving the edges. Results show that the our scheme leads to more contrast, less noise and the shape of the objects are better preserved in the constructed images when compared to state of the art methods.
  • Keywords
    adaptive filters; image reconstruction; millimetre wave detectors; millimetre wave imaging; radiometers; smoothing methods; splines (mathematics); adaptive smoothing filter; millimeter wave image reconstruction; millimeter wave radiometer; multiquadric splines; passive sensors; piecewise smoothness; weighting factor; Image reconstruction; Millimeter wave technology; Noise; Pixel; Radiometers; Sensors; Image reconstruction; adaptive filters; smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5651656
  • Filename
    5651656