COMMAND:¶

DenoiseImage

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.

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 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

1x1x1

Patch radius. Default = 1x1x1

-r, --search-radius 3

3x3x3

Search radius. Default = 3x3x3.

-o, --output correctedImage

[correctedImage,<noiseImage>]

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