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+# Point Filters
+
+Point filters run for every decoded point, reducing pointcloud size right at the decode stage.
+This can speed up the later parts of pointcloud processing pipelines by reducing the number of points copied between and processed by modules.
+
+## Configuration
+
+Filters are configured via the ROS parameter namespace `point_filters`.
+
+```yaml
+{
+  point_filters:
+    filter_type_a:
+      # config for filter_type_a goes here
+    filter_type_b:
+      # ...
+}
+```
+
+Where each `filter_type` can be specified at most once.
+The configuration options available depend on the respective filter type.
+
+Filters can also be set during runtime, e.g. via:
+
+```shell
+ros2 param set /hesai_ros_wrapper_node point_filters.filter_type_a ...'
+```
+
+## Supported Filters
+
+The following filter types are supported:
+
+| Filter Name            | Filter Type       |
+| ---------------------- | ----------------- |
+| Downsample Mask Filter | `downsample_mask` |
+
+Below, each filter type is documented in detail.
+
+### Downsample Mask Filter
+
+This filter takes a greyscale PNG image that represents polar coordinates (x=azimuth, y=elevation)
+and downsamples the pointcloud according to the lightness values of the image's pixels.
+
+<!-- prettier-ignore-start -->
+!!! note
+    For ring-based sensors, `y` represents the `channel` as a proxy for `elevation`.
+    The image height has to be equal to the sensor's number of channels.
+<!-- prettier-ignore-end -->
+
+The input image is dithered to a boolean mask:
+
+| Stage                                      |                         Image                         |
+| :----------------------------------------- | :---------------------------------------------------: |
+| Input greyscale mask                       |     ![Greyscale mask](filters/at128_test_roi.png)     |
+| Internal dithered mask generated by Nebula | ![Dithered mask](filters/at128_test_roi_dithered.png) |
+
+The decoded points are then kept/discarded based on that mask:
+
+| ![Pointcloud density](filters/at128_test_roi_cloud.png)                                | ![Pointcloud closeup](filters/at128_test_roi_cloud_closeup.png) |
+| -------------------------------------------------------------------------------------- | --------------------------------------------------------------- |
+| Pointcloud output (2D azimuth-elevation view, points are blurred to visualize density) | Close-up view of (bottom left of the pointcloud)                |
+
+#### Configuration Options
+
+Configuration is done in the following format:
+
+```yaml
+downsample_mask:
+  path: /path/to/mask.png
+```
+
+Or, during runtime, by setting:
+
+```shell
+ros2 param set /hesai_ros_wrapper_node point_filters.downsample_mask.path /path/to/mask.png'
+```
+
+The filter can be disabled by omitting the `downsample_mask` config item, or by setting `path` to an empty string:
+
+```shell
+ros2 param set /hesai_ros_wrapper_node point_filters.downsample_mask.path ""'
+```
+
+#### Behavior
+
+- Greyscale values are quantized to the nearest 10th (yielding 11 quantization levels in total)
+- Mask resolution is dictated by the sensor's maximum FoV, the number of channels (for rotational LiDARs) and the peak angular resolution:
+  - For a 40-channel LiDAR with `360 deg` FoV and `0.1 deg` peak azimuth resolution, the mask has to be `(360 / 0.1, 40) = (3600, 40)` pixels
+  - Currently, non-rotational LiDARs are not yet supported
+- Image editors like GIMP use perceptual color profiles, which can lead to unexpected results (more/less downsampling than expected). Check the generated `_dithered.png` mask to see if you are affected.
+- Dithering performed by Nebula is spatial only, meaning that it stays constant over time. Decoded points are checked against the nearest pixel in the dithered mask
+
+## Compatibility Chart
+
+| Filter          | Hesai | Robosense | Velodyne |
+| --------------- | :---: | :-------: | :------: |
+| Downsample Mask |  ✅   |    ❌     |    ❌    |
+
+Compatibility:  
+✅: compatible  
+❌: incompatible
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diff --git a/docs/index.md b/docs/index.md
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--- a/docs/index.md
+++ b/docs/index.md
@@ -25,6 +25,7 @@ Nebula works with ROS 2 and is the recommended sensor driver for the [Autoware](
 - [Design](design.md)
 - [Parameters](parameters.md)
 - [Point cloud types](point_types.md)
+- [Point filters](filters.md)
 
 ## Supported sensors
 
diff --git a/docs/parameters.md b/docs/parameters.md
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@@ -94,3 +94,7 @@ This parameter is used to set this preference.
 ### `dual_return_distance_threshold`
 
 For multiple returns that are close together, the points will be fused into one if they are below this threshold (in meters).
+
+### `point_filters`
+
+Filters that are applied while decoding the pointcloud. For the full reference, see [Point filters](filters.md).