medpy.filter.noise.immerkaer_local#

medpy.filter.noise.immerkaer_local(input, size, output=None, mode='reflect', cval=0.0)[source]#

Estimate the local noise.

The input image is assumed to have additive zero mean Gaussian noise. The Immerkaer noise estimation is applied to the image locally over a N-dimensional cube of side-length size. The size of the region should be sufficiently high for a stable noise estimation.

Parameters:

inputarray_like: Array of which to estimate the noise.
sizeinteger: The local region’s side length.
outputndarray, optional: The output parameter passes an array in which to store the filter output.
mode{‘reflect’, ‘constant’, ‘nearest’, ‘mirror’, ‘wrap’}, optional: The mode parameter determines how the array borders are handled, where cval is the value when mode is equal to ‘constant’. Default is ‘reflect’
cvalscalar, optional: Value to fill past edges of input if mode is ‘constant’. Default is 0.0

Returns:

sigmasarray_like: Map of the estimated standard deviation of the images Gaussian noise per voxel.