fanwuyang/neural-enhance-super-resolution
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Fix histogram matching with scipy 0.17.0

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Alexey Kruglov
2016-11-18 21:24:17 +03:00
parent 4ee13f5ac5
commit 8e60e74978
1 changed files with 2 additions and 2 deletions
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enhance.py
+2 -2
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@@ -540,8 +540,8 @@ class NeuralEnhancer(object):
(Ha, Xa), (Hb, Xb) = [np.histogram(i, bins=bins, range=rng, density=True) for i in [A, B]]
X = np.linspace(rng[0], rng[1], bins, endpoint=True)
Hpa, Hpb = [np.cumsum(i) * (rng[1] - rng[0]) ** 2 / float(bins) for i in [Ha, Hb]]
inv_Ha = scipy.interpolate.interp1d(X, Hpa, bounds_error=False)
map_Hb = scipy.interpolate.interp1d(Hpb, X, bounds_error=False)
inv_Ha = scipy.interpolate.interp1d(X, Hpa, bounds_error=False, fill_value='extrapolate')
map_Hb = scipy.interpolate.interp1d(Hpb, X, bounds_error=False, fill_value='extrapolate')
return map_Hb(inv_Ha(A).clip(0.0, 255.0))
def process(self, original):