Provided by: ants_2.2.0-1ubuntu1_amd64 bug


       NonLocalSuperResolution - part of ANTS registration suite



              Non-local  super  resolution  described  in  the  following papers: 1) JV Manjon, P
              Coupe, A Buades,  V  Fonov,  DL  Collins,  and  Montserrat  Robles.  Non-local  MRI
              Upsampling.Medical  Image  Analysis,  14:784-792,  2010 and2) JV Manjon, P Coupe, A
              Buades,  DL   Collins,   and   Montserrat   Robles.   MRI   Superresolution   Using
              Self-Similarity and Image Priors.International Journal of Biomedical Imaging, 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 low-resolution image input image to be superresoluted.

       -j, --interpolated-image inputImageFilename

              An interpolated version of the low-resolution image (such as B-spline). One  should
              specify  either  this  option as a secondary input or a high-resolution multi-modal
              counterpart (cf the -k option).

       -k, --reference-image inputImageFilename

              A high resolution reference multi-modal image. Assumed to be in the same  space  as
              the  low-resolution  input  image (i.e., registered).One should specify either this
              option as a secondary input or an interpolated version (cf the -j option).

       -p, --patch-radius 1

              Patch radius. Default = 1x1x1

       -r, --search-radius 3

              Search radius. Default = 3x3x3.

       -g, --intensity-difference-sigma 1.0

              Intensity difference sigma. Default = 1.0

       -t, --patch-similarity-sigma 1.0

              Patch similarity sigma. Default = 1.0

       -s, --scale-levels 32x16x8x2x1

              Scale levels. Default = 32x16x8x2x1

       -n, --interpolation Linear
              NearestNeighbor    Gaussian[<sigma=imageSpacing>,<alpha=1.0>]    BSpline[<order=3>]
              CosineWindowedSinc WelchWindowedSinc HammingWindowedSinc LanczosWindowedSinc

              Several  interpolation  options  are  available  in  ITK.  These have all been made

       -o, --output outputImage

              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