diff --git a/doc/user_guide/marks/image.rst b/doc/user_guide/marks/image.rst
index 673fc1057..2c1e1d9fe 100644
--- a/doc/user_guide/marks/image.rst
+++ b/doc/user_guide/marks/image.rst
@@ -43,3 +43,150 @@ Scatter Plot with Image Marks
     )
 
     alt.Chart(source).mark_image(width=50, height=50).encode(x="x", y="y", url="img")
+
+Show Image Marks with Selection
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+This example demonstrates how to display image marks with drag selection. We create two charts:
+one with point marks and the other with image marks, applying the selection filter only to the latter.
+By combining these two charts, we can achieve the desired result.
+
+.. altair-plot::
+
+    import altair as alt
+    import pandas as pd
+
+    source = pd.DataFrame.from_records(
+        [{'a': 1, 'b': 1, 'image': 'https://altair-viz.github.io/_static/altair-logo-light.png'},
+        {'a': 2, 'b': 2, 'image': 'https://avatars.githubusercontent.com/u/11796929?s=200&v=4'}]
+    )
+
+    brush = alt.selection_interval()
+    point = alt.Chart(source).mark_circle(size=100).encode(
+        x='a',
+        y='b',
+    ).add_params(
+        brush
+    )
+
+    img = alt.Chart(source).mark_image(width=50, height=75).encode(
+        x='a',
+        y='b',
+        url='image'
+    ).transform_filter(
+        brush
+    )
+
+    point + img
+
+In the layered chart, images may overlap one other. 
+An alternative is to use a faceted image chart beside the original chart:
+
+.. altair-plot::
+
+    img_faceted = alt.Chart(source, width=50, height=75).mark_image().encode(
+        url='image'
+    ).facet(
+        alt.Facet('image', title='', header=alt.Header(labelFontSize=0))
+    ).transform_filter(
+        brush
+    )
+
+    point | img_faceted
+
+If we want the images to not be visible in the initial chart
+we could add ``empty=False`` to the interval selection.
+However,
+Altair will not automatically resize the chart area to include the faceted chart
+when a selection is made,
+which means it seems like the selection has no effect.
+In order to resize the chart automatically,
+we need to explicitly set the ``autosize`` option in the ``configure`` method.
+
+.. altair-plot::
+
+    brush = alt.selection_interval(empty=False)
+    point = alt.Chart(source).mark_circle(size=100).encode(
+        x='a',
+        y='b',
+    ).add_params(
+        brush
+    )
+    img_faceted = alt.Chart(source, width=50, height=75).mark_image().encode(
+        url='image'
+    ).facet(
+        alt.Facet('image', title='', header=alt.Header(labelFontSize=0))
+    ).transform_filter(
+        brush
+    )
+
+    (point | img_faceted).configure(
+        autosize=alt.AutoSizeParams(resize=True)
+    )
+
+
+Use Local Images as Image Marks
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+We could also show local images by first converting them to base64-encoded_ strings.
+In the example below,
+we load two images saved in the Altair repo;
+you can replace the image paths below with the location of the desired images on your machine.
+This approach also works with images stored as Numpy Arrays
+as can be seen in the tutorial :ref:`Displaying Numpy Images in Tooltips <numpy-tooltip-imgs>`.
+
+.. altair-plot::
+
+    import base64
+    import altair as alt
+    import pandas as pd
+
+    from io import BytesIO
+    from PIL import Image
+
+
+    image_paths = ["doc/_static/gray-square.png","doc/_static/altair-logo-light.png"]
+    base64_images = []
+
+    for image_path in image_paths:
+        pil_image = Image.open(image_path)
+        output = BytesIO()
+        pil_image.save(output, format='PNG')
+        base64_images.append(
+            "data:image/png;base64," + base64.b64encode(output.getvalue()).decode()
+        )
+
+    source = pd.DataFrame({"x": [1, 2], "y": [1, 2], "image": base64_images})
+    alt.Chart(source).mark_image(
+        width=50,
+        height=50
+    ).encode(
+        x='x',
+        y='y',
+        url='image'
+    )
+
+Image Tooltip
+^^^^^^^^^^^^^
+This example shows how to render images in tooltips.
+Either URLs or local file paths can be used to reference the images.
+To render the image, you must use the special column name "image" in your data 
+and pass it as a list to the tooltip encoding.
+
+.. altair-plot::
+
+    import altair as alt
+    import pandas as pd
+
+    source = pd.DataFrame.from_records(
+        [{'a': 1, 'b': 1, 'image': 'https://altair-viz.github.io/_static/altair-logo-light.png'},
+         {'a': 2, 'b': 2, 'image': 'https://avatars.githubusercontent.com/u/11796929?s=200&v=4'}]
+    )
+
+    alt.Chart(source).mark_circle(size=200).encode(
+        x='a',
+        y='b',
+        tooltip=['image']  # Must be a list containing a field called "image"
+    )
+
+
+.. _base64-encoded: https://en.wikipedia.org/wiki/Binary-to-text_encoding
diff --git a/tests/examples_arguments_syntax/image_tooltip.py b/tests/examples_arguments_syntax/image_tooltip.py
deleted file mode 100644
index 8077f1b90..000000000
--- a/tests/examples_arguments_syntax/image_tooltip.py
+++ /dev/null
@@ -1,23 +0,0 @@
-"""
-Image Tooltip
--------------
-This example shows how to render images in tooltips.
-Either URLs or local file paths can be used to reference
-the images. To render the image, you must use the special
-column name "image" in your data and pass it as a list to
-the tooltip encoding.
-"""
-# category: interactive charts
-
-import altair as alt
-import pandas as pd
-
-source = pd.DataFrame.from_records(
-    [{'a': 1, 'b': 1, 'image': 'https://altair-viz.github.io/_static/altair-logo-light.png'},
-     {'a': 2, 'b': 2, 'image': 'https://avatars.githubusercontent.com/u/11796929?s=200&v=4'}]
-)
-alt.Chart(source).mark_circle(size=200).encode(
-    x='a',
-    y='b',
-    tooltip=['image']  # Must be a list containing a field called "image"
-)