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Removed a few redundant lines.

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emmanuelle
2015-02-01 23:11:34 +01:00
parent 6770e9e557
commit bcd24eab86
1 changed files with 9 additions and 14 deletions
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skimage/restoration/non_local_means.py
+9 -14
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@@ -59,7 +59,7 @@ def nl_means_denoising(image, patch_size=7, patch_distance=11, h=0.1,
Hence, changing the size of patches or their maximal distance has a
strong effect on computing times, especially for 3-D images.
However, the default behavior corresponds to ``fast=True``, for which
However, the default behavior corresponds to ``fast_mode=True``, for which
another version of non-local means [2]_ is used, corresponding to a
complexity of
@@ -99,27 +99,22 @@ def nl_means_denoising(image, patch_size=7, patch_distance=11, h=0.1,
"""
if image.ndim == 2:
image = image[..., np.newaxis]
multichannel = True
if image.ndim != 3:
raise NotImplementedError("Non-local means denoising is only \
implemented for 2D grayscale and RGB images or 3-D grayscale images.")
if multichannel: # 2-D images
if fast_mode:
return np.squeeze(np.array(_fast_nl_means_denoising_2d(image,
s=patch_size, d=patch_distance, h=h)))
patch_size, patch_distance, h)))
else:
return np.squeeze(np.array(_nl_means_denoising_2d(image,
s=patch_size, d=patch_distance, h=h)))
elif image.ndim == 3 and not multichannel: # only grayscale
patch_size, patch_distance, h)))
else: # 3-D grayscale
if fast_mode:
return np.array(_fast_nl_means_denoising_3d(image, s=patch_size,
d=patch_distance, h=h))
else:
return np.array(_nl_means_denoising_3d(image, patch_size,
patch_distance, h))
if image.ndim == 3 and multichannel: # 2-D color (RGB) images
if fast_mode:
return np.array(_fast_nl_means_denoising_2d(image, patch_size,
patch_distance, h))
else:
return np.array(_nl_means_denoising_2d(image, patch_size,
patch_distance, h))
else:
raise NotImplementedError("Non-local means denoising is only \
implemented for 2D grayscale and RGB images or 3-D grayscale images.")