__init__(self, impulse_response, **filter_params)
Function that yields the impulse response. r
and c
are 1-dimensional vectors that represent row and column positions, in other words coordinates are (r[0],c[0]),(r[0],c[1]) etc. :None:None:`**filter_params` are passed through.
In other words, impulse_response
would be called like this:
>>> def impulse_response(r, c, **filter_params):
... pass
>>>
>>> r = [0,0,0,1,1,1,2,2,2]
>>> c = [0,1,2,0,1,2,0,1,2]
>>> filter_params = {'kw1': 1, 'kw2': 2, 'kw3': 3}
>>> impulse_response(r, c, **filter_params)
Gaussian filter: Use a 1-D gaussian in each direction without normalization coefficients.
This example is valid syntax, but we were not able to check execution>>> def filt_func(r, c, sigma = 1):See :
... return np.exp(-np.hypot(r, c)/sigma)
... filter = LPIFilter2D(filt_func)
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