66102ad91a
Merge pull request #1895 from OrkoHunter/denoise_bilateral
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Raise warning for 3D images in denoise_bilateral
2016-02-05 17:22:04 +03:00
7014d04327
Remove useless multichannel=True kwarg from tests
2016-02-05 14:38:13 +05:30
b40d028550
Add tests for warnings in denoise_bilateral
2016-02-05 08:05:58 +05:30
5e780bb27f
Fix unknown Example section warning
2016-02-01 08:47:36 +01:00
63b893d4c6
Fix test and doctest for multichannel kwarg in denoise_bilateral
2016-01-29 17:47:31 +05:30
b1e0597ee1
Raise warning for 3D images in denoise_bilateral
2016-01-29 17:47:31 +05:30
53742be9c6
fix axis bug in multichannel case and add a corresponding test
2016-01-24 02:24:37 -05:00
a30592a22a
MAINT: explicitly specify axis argument
2016-01-23 11:23:21 -05:00
e6a1a19337
update default weight to reflect the bugfix from hardcoded 0.5 to 1/(2*ndim)
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use the default weight in all the tests as well.
2016-01-23 11:01:48 -05:00
dd5a708a33
minor bugfix so that weight gives a consistent amount of smoothing regardless of the number of dimensions.
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As in the original reference, the stepsize should be in both the numerator and denominator of p.
2016-01-23 11:01:15 -05:00
9f419024ad
Switch _denoise_tv_chambolle to use C-ordering
2016-01-23 10:59:33 -05:00
4a8a2189f2
use Fortran order for g and p in _denoise_chambolle_nd to avoid a performance regression
2016-01-23 10:59:32 -05:00
4bc4f0a169
remove try/except in _denoise_chambolle_nd. just use the numpy 1.6 compatible case
2016-01-23 10:59:32 -05:00
c2b86d8a02
fix numpy 1.6 compatibility
2016-01-23 10:59:32 -05:00
2d326a464e
ENH: n-dimensional refactor of TV denoising.
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_denoise_tv_chambolle_2d and _denoise_tv_chambolle_3d are replaced by _denoise_tv_chambolle_nd
The restriction to 2D and 3D in denoies_tv_chambolle was removed.
2016-01-23 10:59:32 -05:00
6740ef9849
Merge pull request #1842 from jni/1840
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Specify 2D images in denoise bilateral docstring
2015-12-24 09:59:11 +01:00
f143f4b39e
Change default weight for denoise_tv_chambolle to a value that is reasonable for float images scaled to the [0, 1] range
2015-12-23 12:29:37 -05:00
e102011098
Specify 2D images in denoise bilateral docstring
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Addresses #1840
2015-12-23 23:57:22 +11:00
a664043197
Merge pull request #1667 from odebeir/sprint_euroscipy2015_denoise
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Sprint euroscipy2015 denoise
2015-09-04 08:49:09 -04:00
f5e4a5e44d
remove import/blank lines
2015-09-02 16:01:13 +02:00
544fb95f76
typo
2015-08-28 21:35:18 +02:00
76285f5986
add exemple to denoise_bilateral() in docstring
2015-08-28 21:33:58 +02:00
50804d1e9b
Correct documentation to denoise_bilateral for sigma_range
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Closes #1630
2015-08-28 19:43:14 +01:00
955b1761f1
Add documantation to denoise_bilateral for sigma_range
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closes #1630
2015-08-28 19:10:09 +01:00
81ea7a6e34
MAINT: All modes in _shared.interpolation.pxd were changed to be consistent with numpy.pad naming conventions. Specifically 'nearest' was changed to 'edge' and 'mirror' was changed to 'reflect'. All functions with a mode argument that rely on these functions had their inputs changed accordingly. For now there is a deprecation warning if the user supplies mode 'nearest'. Mode 'mirror' never appeared in an official release of skimage and so has no corresponding deprecation warning.
2015-08-13 23:39:55 -04:00
ee5c6fbeb2
Use relative imports in skimage files
2015-01-22 07:36:48 -05:00
3a1079a180
Misc PEP8 fixes
2014-12-14 02:56:14 +01:00
873a2bab4f
Modified a few docstrings that made doctesting fail
2014-12-07 16:58:36 +01:00
1b217f971e
replacing lena in examples and most tests
2014-11-07 16:01:23 +02:00
343d1d2ec3
Fix incorrectly documented non-optional argument
2014-09-22 17:54:56 +02:00
ef63523ab0
Move denoise functions to restoration submodule
2014-03-13 19:39:54 -04:00
Egor Panfilov