usage: __main__.py [-h] [--mask] [--sigma float] [--log LOGFILE]
[--processes NBR] [-v [{DEBUG,INFO,WARNING}]] [-f]
in_image out_image number_coils
Script to denoise a dataset with the Non Local Means algorithm.
Formerly: scil_run_nlmeans.py
positional arguments:
in_image Path of the image file to denoise.
out_image Path to save the denoised image file.
number_coils Number of receiver coils of the scanner.
Use number_coils=1 in the case of a SENSE (GE, Philips) reconstruction and
number_coils >= 1 for GRAPPA reconstruction (Siemens). number_coils=4 works well for the 1.5T
in Sherbrooke. Use number_coils=0 if the noise is considered Gaussian distributed.
options:
-h, --help show this help message and exit
--mask Path to a binary mask. Only the data inside the mask will be used for computations
--sigma float The standard deviation of the noise to use instead of computing it automatically.
--log LOGFILE If supplied, name of the text file to store the logs.
--processes NBR Number of sub-processes to start.
Default: [1]
-v [{DEBUG,INFO,WARNING}]
Produces verbose output depending on the provided level.
Default level is warning, default when using -v is info.
-f Force overwriting of the output files.