diff --git a/modules/imgproc/doc/filtering.rst b/modules/imgproc/doc/filtering.rst
index 770a9b0a03..679c4e6e5c 100644
--- a/modules/imgproc/doc/filtering.rst
+++ b/modules/imgproc/doc/filtering.rst
@@ -949,7 +949,7 @@ getGaussianKernel
 
     :param ksize: Aperture size. It should be odd ( :math:`\texttt{ksize} \mod 2 = 1` ) and positive.
 
-    :param sigma: Gaussian standard deviation. If it is non-positive, it is computed from  ``ksize``  as  \ ``sigma = 0.3*(ksize/2 - 1) + 0.8`` .
+    :param sigma: Gaussian standard deviation. If it is non-positive, it is computed from  ``ksize``  as  \ ``sigma = 0.3*((ksize-1)*0.5 - 1) + 0.8`` .
     :param ktype: Type of filter coefficients. It can be  ``CV_32f``  or  ``CV_64F`` .
 
 The function computes and returns the
diff --git a/modules/imgproc/doc/miscellaneous_transformations.rst b/modules/imgproc/doc/miscellaneous_transformations.rst
index 862a0d315a..8e534d2772 100644
--- a/modules/imgproc/doc/miscellaneous_transformations.rst
+++ b/modules/imgproc/doc/miscellaneous_transformations.rst
@@ -384,9 +384,7 @@ The function can do the following transformations:
 *
     Bayer :math:`\rightarrow`     RGB ( ``CV_BayerBG2BGR, CV_BayerGB2BGR, CV_BayerRG2BGR, CV_BayerGR2BGR, CV_BayerBG2RGB, CV_BayerGB2RGB, CV_BayerRG2RGB, CV_BayerGR2RGB``     ). The Bayer pattern is widely used in CCD and CMOS cameras. It enables you to get color pictures from a single plane where R,G, and B pixels (sensors of a particular component) are interleaved as follows:
 
-    .. math::
-
-        \newcommand{\Rcell}{\color{red}R} \newcommand{\Gcell}{\color{green}G} \newcommand{\Bcell}{\color{blue}B} \definecolor{BackGray}{rgb}{0.8,0.8,0.8} \begin{array}{ c c c c c } \Rcell & \Gcell & \Rcell & \Gcell & \Rcell \\ \Gcell & \colorbox{BackGray}{\Bcell} & \colorbox{BackGray}{\Gcell} & \Bcell & \Gcell \\ \Rcell & \Gcell & \Rcell & \Gcell & \Rcell \\ \Gcell & \Bcell & \Gcell & \Bcell & \Gcell \\ \Rcell & \Gcell & \Rcell & \Gcell & \Rcell \end{array}
+    .. image:: pics/bayer.png
 
     The output RGB components of a pixel are interpolated from 1, 2, or
     4 neighbors of the pixel having the same color. There are several
@@ -642,12 +640,8 @@ It makes possible to do a fast blurring or fast block correlation with a variabl
 
 As a practical example, the next figure shows the calculation of the integral of a straight rectangle ``Rect(3,3,3,2)`` and of a tilted rectangle ``Rect(5,1,2,3)`` . The selected pixels in the original ``image`` are shown, as well as the relative pixels in the integral images ``sum`` and ``tilted`` .
 
-\begin{center}
-
 .. image:: pics/integral.png
 
-\end{center}
-
 .. index:: threshold
 
 .. _threshold:
diff --git a/modules/imgproc/doc/pics/bayer.png b/modules/imgproc/doc/pics/bayer.png
new file mode 100644
index 0000000000..92fe2ddb8b
Binary files /dev/null and b/modules/imgproc/doc/pics/bayer.png differ