ssheybani

from dipy.denoise.nlmeans import nlmeans
from dipy.denoise.non_local_means import non_local_means
from dipy.denoise.noise_estimate import estimate_sigma

input_dir = '/home/saber/Courses/Semester_1/Garyfallidis_Lab/Denoising/NLMeans/Wu/Wu_HYDI/Preprocessed' 
fname = input_dir + '/DWI_d_68s_eddy_fm.nii.gz'
s_img = nib.load(fname)
s_data = s_img.get_data()

s_data_red = s_data[..., 1:15]