Provided by: ants_2.2.0-1ubuntu1_amd64 bug


       DenoiseImage - part of ANTS registration suite



              Denoise  an  image  using a spatially adaptive filter originally described in J. V.
              Manjon, P. Coupe, Luis Marti-Bonmati,  D.  L.  Collins,  and  M.  Robles.  Adaptive
              Non-Local Means Denoising of MR Images With Spatially Varying Noise Levels, Journal
              of Magnetic Resonance Imaging, 31:192-203, June 2010.

       -d, --image-dimensionality 2/3/4

              This option forces the image to be treated as a specified-dimensional image. If not
              specified, the program tries to infer the dimensionality from the input image.

       -i, --input-image inputImageFilename

              A scalar image is expected as input for noise correction.

       -n, --noise-model Rician/(Gaussian)

              Employ a Rician or Gaussian noise model.

       -x, --mask-image maskImageFilename

              If a mask image is specified, denoising is only performed in the mask region.

       -s, --shrink-factor (1)/2/3/...

              Running  noise  correction  on  large  images  can  be  time  consuming.  To lessen
              computation time, the input image can be resampled. The shrink factor, specified as
              a single integer, describes this resampling. Shrink factor = 1 is the default.

       -p, --patch-radius 1

              Patch radius. Default = 1x1x1

       -r, --search-radius 3

              Search radius. Default = 3x3x3.

       -o, --output correctedImage


              The output consists of the noise corrected version of the input image.  Optionally,
              one can also output the estimated noise image.


              Get Version Information.

       -v, --verbose (0)/1

              Verbose output.


              Print the help menu (short version).


              Print the help menu.  <VALUES>: 1