diff --git a/CONTRIBUTING.txt b/CONTRIBUTING.txt
index 837dca2a..fcb36547 100644
--- a/CONTRIBUTING.txt
+++ b/CONTRIBUTING.txt
@@ -123,7 +123,8 @@ Guidelines
 
 * All code should have tests (see `test coverage`_ below for more details).
 * All code should be documented, to the same
-  `standard <http://projects.scipy.org/numpy/wiki/CodingStyleGuidelines>`_
+  `standard
+<://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt#docstring-standard>`_
   as NumPy and SciPy.
 * For new functionality, always add an example to the
   gallery.
diff --git a/skimage/exposure/_adapthist.py b/skimage/exposure/_adapthist.py
index 9cfc716e..da80414d 100644
--- a/skimage/exposure/_adapthist.py
+++ b/skimage/exposure/_adapthist.py
@@ -28,7 +28,11 @@ NR_OF_GREY = 2**14  # number of grayscale levels to use in CLAHE algorithm
 @adapt_rgb(hsv_value)
 def equalize_adapthist(image, ntiles_x=8, ntiles_y=8, clip_limit=0.01,
                        nbins=256):
-    """Contrast Limited Adaptive Histogram Equalization.
+    """Contrast Limited Adaptive Histogram Equalization (CLAHE).
+
+    An algorithm for local contrast enhancement, that uses histograms computed
+    over different tile regions of the image. Local details can therefore be
+    enhanced even in regions that are darker or lighter than most of the image.
 
     Parameters
     ----------
@@ -49,6 +53,10 @@ def equalize_adapthist(image, ntiles_x=8, ntiles_y=8, clip_limit=0.01,
     out : ndarray
         Equalized image.
 
+    See Also
+    --------
+    equalize_hist, rescale_intensity
+
     Notes
     -----
     * For color images, the following steps are performed: