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Bilateral Filter
The
Bilateral Filter
node in AugeLab Studio applies a bilateral filter to an input image. The bilateral filter is a non-linear filter that preserves edges while reducing noise in the image.The
Bilateral Filter
node applies a bilateral filter to an input image, resulting in a filtered image with reduced noise and preserved edges.- Node Title: Bilateral Filter
- Node ID: OP_NODE_BILATERAL
The
Bilateral Filter
node has the following input socket:- Image: The input image to apply the bilateral filter. Connect an image to this socket.
The
Bilateral Filter
node has the following output socket:- Output Image: The filtered image after applying the bilateral filter.
The
Bilateral Filter
node provides two sliders for configuration:- Kernel Size: Adjusts the size of the kernel used for the bilateral filter. Higher values result in a larger kernel and a stronger filtering effect.
- Sigma Value: Adjusts the standard deviation of the color space. Higher values result in a wider range of color values being considered similar.
- 1.Drag and drop the
Bilateral Filter
node from the node library onto the canvas in AugeLab Studio. - 2.Connect the input image to the Image input socket of the
Bilateral Filter
node. - 3.Adjust the Kernel Size slider to set the size of the kernel used for the bilateral filter. Higher values result in a stronger filtering effect.
- 4.Adjust the Sigma Value slider to set the standard deviation of the color space. Higher values result in a wider range of color values being considered similar.
- 5.Run the pipeline.
- 6.The
Bilateral Filter
node will apply the bilateral filter to the input image. - 7.The filtered image will be available at the Output Image output socket.
- The bilateral filter is a non-linear filter that reduces noise while preserving edges in the image.
- The
Bilateral Filter
node is particularly effective at reducing noise in images while preserving fine details and edges. - Adjust the Kernel Size to control the size of the kernel used for the bilateral filter. Larger kernel sizes result in a stronger filtering effect but may also blur the image.
- Adjust the Sigma Value to control the standard deviation of the color space. Higher values result in a wider range of color values being considered similar during the filtering process.
- Experiment with different kernel sizes and sigma values to achieve the desired level of noise reduction while preserving important image features.
That concludes the documentation for the
Bilateral Filter
node in AugeLab Studio. This node provides a powerful tool for reducing noise in images while preserving edges and fine details.