bionic (1) NonLocalSuperResolution.1.gz

NAME

       NonLocalSuperResolution - part of ANTS registration suite

DESCRIPTION

   COMMAND:
              NonLocalSuperResolution

              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.

   OPTIONS:
       -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
              1x1x1

              Patch radius. Default = 1x1x1

       -r, --search-radius 3
              3x3x3

              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 available.

       -o, --output outputImage

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

       --version

              Get Version Information.

       -v, --verbose (0)/1

              Verbose output.

       -h

              Print the help menu (short version).

       --help

              Print the help menu.  <VALUES>: 1