Frequency Determined Homomorphic Unsharp Masking Algorithm on Knee MR Images

  • Edoardo Ardizzone
  • Roberto Pirrone
  • Orazio Gambino
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)


A very important artifact corrupting Magnetic Resonance (MR) Images is the RF inhomogeneity, also called Bias artifact. The visual effect produced by this kind of artifact is an illumination variation which afflicts this kind of medical images. In literature a lot of works oriented to the suppression of this artifact can be found. The approaches based on homomorphic filtering offer an easy way to perform bias correction but none of them can automatically determine the cut-off frequency. In this work we present a measure based on information theory in order to find the frequency mentioned above and this technique is applied to MR images of the knee which are hardly bias corrupted.


IEEE Transaction Medical Image Corrected Bias Illumination Variation Degradation Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Edoardo Ardizzone
    • 1
  • Roberto Pirrone
    • 1
  • Orazio Gambino
    • 1
  1. 1.Computer Science and Artificial Intelligence LaboratoryUniversitá degli Studi di PalermoPalermoItaly

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