Python Sparse data Analysis Package external MRI plugin.

Note

This page is a reference documentation. It only explains the class signature, and not how to use it. Please refer to the gallery for the big picture.

class mri.operators.linear.wavelet.WaveletN(wavelet_name, nb_scale=4, verbose=0, dim=2, n_coils=1, n_jobs=1, backend='threading', **kwargs)[source]¶

The 2D and 3D wavelet transform class.

adj_op(coefs)[source]¶

Define the wavelet adjoint operator. This method returns the reconstructed image.

Parameters: coeffs : ndarray

the wavelet coefficients.
Returns: data : ndarray

the reconstructed data.

l2norm(shape)[source]¶

Compute the L2 norm.

Parameters: shape : uplet

the data shape.
Returns: norm : float

the L2 norm.

op(data)[source]¶

Define the wavelet operator. This method returns the input data convolved with the wavelet filter.

Parameters: data : ndarray or Image

input 2D data array.
Returns: coeffs : ndarray

the wavelet coefficients.