diff --git a/skimage/restoration/deconvolution.py b/skimage/restoration/deconvolution.py
index 5b495c81..51c2c705 100644
--- a/skimage/restoration/deconvolution.py
+++ b/skimage/restoration/deconvolution.py
@@ -11,11 +11,6 @@ from scipy.signal import convolve2d
 
 from . import uft
 
-__credits__ = ["François Orieux"]
-__license__ = "mit"
-__version__ = "1.0.0"
-__maintainer__ = "François Orieux"
-__status__ = "stable"
 __keywords__ = "restoration, image, deconvolution"
 
 
@@ -145,7 +140,9 @@ def wiener(image, psf, balance, reg=None, is_real=True, clip=True):
 
     return deconv
 
-def unsupervised_wiener(image, psf, reg=None, user_params=None, is_real=True, clip=True):
+
+def unsupervised_wiener(image, psf, reg=None, user_params=None, is_real=True,
+                        clip=True):
     """Unsupervised Wiener-Hunt deconvolution
 
     Return the deconvolution with a Wiener-Hunt approach, where the
@@ -369,7 +366,6 @@ def richardson_lucy(image, psf, iterations=50, clip=True):
     References
     ----------
     .. [2] http://en.wikipedia.org/wiki/Richardson%E2%80%93Lucy_deconvolution
-
     """
     image = image.astype(np.float)
     psf = psf.astype(np.float)
diff --git a/skimage/restoration/uft.py b/skimage/restoration/uft.py
index 8325e678..fedcc6f6 100644
--- a/skimage/restoration/uft.py
+++ b/skimage/restoration/uft.py
@@ -27,11 +27,7 @@ from __future__ import division, print_function
 
 import numpy as np
 
-__credits__ = ["François Orieux"]
-__license__ = "mit"
-__version__ = "1.0.0"
-__maintainer__ = "Francois Orieux"
-__keywords__ = "fft"
+__keywords__ = "fft, Fourier Transform, orthonormal, unitary"
 
 
 def ufftn(inarray, dim=None):