def _atilda0(coefs):
from imfun.fnutils import take, fniter
kernels = take(len(coefs), fniter(atrous.zupsample, _phi2d_))
out = np.zeros(coefs[0].shape)
for j, c in enumerate(coefs):
if j > 0:
x = atrous.signal.convolve2d(c, kernels[j - 1], **c2dkw)
else:
x = c
out += x
return out
def _atilda1(coefs):
from imfun.fnutils import take, fniter
kernels = take(len(coefs), fniter(atrous.zupsample, _phi2d_))
out = np.zeros(coefs[0].shape)
for j, c in enumerate(coefs[:-1]):
if j > 0:
kern = atrous.signal.convolve2d(kernels[j - 1], kern_prev, **c2dkw)
kern_prev = kern
else:
kern = kernels[1]
kern_prev = kern
x = atrous.signal.convolve2d(c, kern, **c2dkw)
out += x
return out
