wiener

wiener

skimage.filters.wiener(data, impulse_response=None, filter_params={}, K=0.25, predefined_filter=None) [source]

Minimum Mean Square Error (Wiener) inverse filter.

Parameters:	data : (M,N) ndarray Input data. K : float or (M,N) ndarray Ratio between power spectrum of noise and undegraded image. impulse_response : callable f(r, c, **filter_params) Impulse response of the filter. See LPIFilter2D.__init__. filter_params : dict Additional keyword parameters to the impulse_response function.
Other Parameters:
	predefined_filter : LPIFilter2D If you need to apply the same filter multiple times over different images, construct the LPIFilter2D and specify it here.