1 files changed, 48 insertions, 1 deletions
diff --git a/docs/filters.rst b/docs/filters.rst
index c04b536..8afd0cb 100644
--- a/docs/filters.rst
+++ b/docs/filters.rst
@@ -538,9 +538,56 @@ Non-local-means denoising
 
         Radius of patches.
 
+    .. gobj:prop:: h:float
+
+        Smoothing control parameter, should be around noise standard deviation
+        or slightly less. Higher h results in a smoother image but with blurred
+        features. If it is 0, estimate noise standard deviation and use it as
+        the parameter value.
+
     .. gobj:prop:: sigma:float
 
-        Sigma influencing the Gaussian weighting.
+        Noise standard deviation, improves weights computation. If it is zero,
+        it is *not* automatically estimated as opposed to :gobj:prop:`h`.
+        :gobj:prop:`estimate-sigma` has to be specified in order to override
+        :gobj:prop:`sigma` value.
+
+    .. gobj:prop:: window:boolean
+
+        Apply Gaussian profile with :math:`\sigma = \frac{P}{2}`, where :math:`P`
+        is the :gobj:prop:`patch-radius` parameter to the weight computation
+        which decreases the influence of pixels towards the corners of the
+        patches.
+
+    .. gobj:prop:: fast:boolean
+
+        Use a fast version of the algorithm described in [#]_. The only
+        difference in the result from the classical algorithm is that there is
+        no Gaussian profile used and from the nature of the fast algorithm,
+        floating point precision errors might occur for large images.
+
+    .. gobj:prop:: estimate-sigma:boolean
+
+        Estimate sigma based on [#]_, which overrides :gobj:prop:`sigma`
+        parameter value. Only the first image in a sequence is used for
+        estimation and the estimated sigma is re-used for every consequent
+        image.
+
+    .. gobj:prop:: addressing-mode:enum
+
+        Addressing mode specifies the behavior for pixels falling outside the
+        original image. See OpenCL ``sampler_t`` documentation for more information.
+
+    .. [#]
+        J. Darbon, A. Cunha, T.F. Chan, S. Osher, and G.J. Jensen, *Fast
+        nonlocal filtering applied to electron cryomicroscopy* in 5th IEEE
+        International Symposium on Biomedical Imaging: From Nano to Macro,
+        2008, pp. 1331-1334. DOI:10.1109/ISBI.2008.4541250
+
+    .. [#]
+        J. Immerkaer, *Fast noise variance estimation* in Computer vision and image
+        understanding 64.2 (1996): 300-302. DOI:10.1006/cviu.1996.0060
+
 
 
 Horizontal interpolation