diff --git a/docs/examples/color_channels/rgb_grayscale.jl b/docs/examples/color_channels/rgb_grayscale.jl
index 07593cdb..396eecdd 100644
--- a/docs/examples/color_channels/rgb_grayscale.jl
+++ b/docs/examples/color_channels/rgb_grayscale.jl
@@ -19,4 +19,5 @@ mosaicview(rgb_image, gray_image; nrow = 1)
 # [Rec. ITU-R BT.601-7](https://www.itu.int/dms_pubrec/itu-r/rec/bt/R-REC-BT.601-7-201103-I!!PDF-E.pdf) rounding off to 3 decimal places 
 # `0.299 * R + 0.587 * G + 0.114 * B`
 
+using FileIO #src
 save("assets/rgb_grayscale.png", gray_image) #src
diff --git a/docs/examples/filters_and_restorations/inpainting.jl b/docs/examples/filters_and_restorations/inpainting.jl
new file mode 100644
index 00000000..2a73c4ca
--- /dev/null
+++ b/docs/examples/filters_and_restorations/inpainting.jl
@@ -0,0 +1,42 @@
+# ---
+# title: Image Inpainting
+# cover: assets/inpainting.png
+# ---
+
+# This demo illustrates the use of [image inpainting](https://github.com/JuliaImages/ImageInpainting.jl) algorithm in JuliaImages.
+
+# Inpainting is the process of constructing lost or deteriorated parts of an
+# image or video. It is also used for removing undesired elements from a scene.
+#  
+# The basic idea of inpainting is: Replace those bad marks (or undesired elements) with its 
+# neighbouring pixels so that it looks like the neighbourhood.
+
+# In this demo we will be removing an undesired element form an image.
+
+using ImageInpainting, TestImages, ImageCore
+
+img  = Float64.(Gray.(testimage("lighthouse")));
+Gray.(img)
+
+# Create a mask of same size as of image
+mask = falses(size(img));
+
+# pixels where mask is set to true will be inpainted
+mask[50:350,300:400] .= true;
+Gray.(mask)
+
+# inpaint take the parametes image, mask and algorithm.  
+# We will be using Criminisi [1] algorithm
+out = inpaint(img, mask, Criminisi(30,30));
+
+mosaicview(Gray.(img), Gray.(mask), Gray.(out); nrow = 1)
+
+# Note: Currently, ImageInpainting.jl only supports 2D images
+# ### References
+# [1] Criminisi, A., Pérez, P., Toyama, K., 2004. Region Filling
+# and Object Removal by Examplar-based Image Inpainting.
+
+# --- save covers --- #src
+using FileIO #src
+save("assets/inpainting.png", mosaicview(Gray.(img), Gray.(out); nrow = 1)) #src
+
diff --git a/docs/examples/spatial_transformation/histogram_equalization.jl b/docs/examples/spatial_transformation/histogram_equalization.jl
index c3aad1e8..b31fc0b8 100644
--- a/docs/examples/spatial_transformation/histogram_equalization.jl
+++ b/docs/examples/spatial_transformation/histogram_equalization.jl
@@ -3,7 +3,7 @@
 # cover: assets/histogram_equalization.png
 # ---
 
-# This demo issustrates the use of [Histogram equalization](https://juliaimages.org/ImageContrastAdjustment.jl/stable/reference/#Equalization-1), [gamma correction matching](https://juliaimages.org/ImageContrastAdjustment.jl/stable/reference/#Matching-1)
+# This demo illustrates the use of [Histogram equalization](https://juliaimages.org/ImageContrastAdjustment.jl/stable/reference/#Equalization-1), [gamma correction matching](https://juliaimages.org/ImageContrastAdjustment.jl/stable/reference/#Matching-1)
 # and [Contrast Limited Adaptive Histogram Equalization](https://juliaimages.org/ImageContrastAdjustment.jl/stable/reference/#AdaptiveEqualization-1)
 
 # Histogram equalisation is used to imporve the contrast in an