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Fix doctest

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François Orieux
2013-11-20 11:05:53 +01:00
parent 66372a2405
commit 2c170ca0b1
2 changed files with 9 additions and 9 deletions
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skimage/restoration/uft.py
+1 -1
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@@ -85,7 +85,7 @@ def _circshift(inarray, shifts):
Examples
--------
>>> circshift(np.arange(10), 2)
>>> _circshift(np.arange(10), 2)
array([8, 9, 0, 1, 2, 3, 4, 5, 6, 7])
"""
skimage/restoration/wiener.py
+8 -8
View File
@@ -22,7 +22,7 @@
# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
"""Implementations deconvolution functions"""
"""Implementations restoration functions"""
from __future__ import division
@@ -40,7 +40,7 @@ __maintainer__ = "François Orieux"
__email__ = "orieux@iap.fr"
__status__ = "stable"
__url__ = "http://research.orieux.fr"
__keywords__ = "deconvolution, image"
__keywords__ = "restoration, image"
def wiener(data, psf, reg_val, reg=None, real=True):
@@ -79,13 +79,13 @@ def wiener(data, psf, reg_val, reg=None, real=True):
Examples
--------
>>> import numpy as np
>>> from skimage import color, data, deconvolution
>>> from skimage import color, data, restoration
>>> lena = color.rgb2gray(data.lena())
>>> from scipy.signal import convolve2d
>>> psf = np.ones((5, 5)) / 25
>>> lena = convolve2d(lena, psf, 'same')
>>> lena += 0.1 * lena.std() * np.random.standard_normal(lena.shape)
>>> deconvolved_lena = deconvolution.wiener(lena, psf, 1100)
>>> deconvolved_lena = restoration.wiener(lena, psf, 1100)
Notes
-----
@@ -214,13 +214,13 @@ def unsupervised_wiener(data, psf, reg=None, user_params=None):
Examples
--------
>>> import numpy as np
>>> from skimage import color, data, deconvolution
>>> from skimage import color, data, restoration
>>> lena = color.rgb2gray(data.lena())
>>> from scipy.signal import convolve2d
>>> psf = np.ones((5, 5)) / 25
>>> lena = convolve2d(lena, psf, 'same')
>>> lena += 0.1 * lena.std() * np.random.standard_normal(lena.shape)
>>> deconvolved_lena = deconvolution.unsupervised_wiener(lena, psf)
>>> deconvolved_lena = restoration.unsupervised_wiener(lena, psf)
References
----------
@@ -340,13 +340,13 @@ def richardson_lucy(data, psf, iterations=50):
Examples
--------
>>> import numpy as np
>>> from skimage import color, data, deconvolution
>>> from skimage import color, data, restoration
>>> camera = color.rgb2gray(data.camera())
>>> from scipy.signal import convolve2d
>>> psf = np.ones((5, 5)) / 25
>>> camera = convolve2d(camera, psf, 'same')
>>> camera += 0.1 * camera.std() * np.random.standard_normal(camera.shape)
>>> deconvolved = deconvolution.richardson_lucy(camera, psf, 5)
>>> deconvolved = restoration.richardson_lucy(camera, psf, 5)
References
----------