scipy.fftpack.idctn¶

scipy.fftpack.
idctn
(x, type=2, shape=None, axes=None, norm=None, overwrite_x=False)[source]¶ Return multidimensional Discrete Cosine Transform along the specified axes.
Parameters: x : array_like
The input array.
type : {1, 2, 3}, optional
Type of the DCT (see Notes). Default type is 2.
shape : tuple of ints, optional
The shape of the result. If both shape and axes (see below) are None, shape is
x.shape
; if shape is None but axes is not None, then shape isscipy.take(x.shape, axes, axis=0)
. Ifshape[i] > x.shape[i]
, the ith dimension is padded with zeros. Ifshape[i] < x.shape[i]
, the ith dimension is truncated to lengthshape[i]
.axes : tuple or None, optional
Axes along which the IDCT is computed; the default is over all axes.
norm : {None, ‘ortho’}, optional
Normalization mode (see Notes). Default is None.
overwrite_x : bool, optional
If True, the contents of x can be destroyed; the default is False.
Returns: y : ndarray of real
The transformed input array.
See also
dctn
 multidimensional DCT
Notes
For full details of the IDCT types and normalization modes, as well as references, see
idct
.Examples
>>> from scipy.fftpack import dctn, idctn >>> y = np.random.randn(16, 16) >>> np.allclose(y, idctn(dctn(y, norm='ortho'), norm='ortho')) True