Bilateral Filter in OpenCV is a non-linear, edge-preserving, and noise-reducing smoothing filter. The intensity value at each pixel in an image is replaced by a weighted average of intensity values from nearby pixels. This weight can be based on a Gaussian distribution. Crucially, the weights depend not only on Euclidean distance of pixels, but also on the radiometric differences. This means the filter preserves edges, as pixels at edges will have large radiometric differences.

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Bilateral Filter in OpenCV is a non-linear, edge-preserving, and noise-reducing smoothing filter. The intensity value at each pixel in an image is replaced by a weighted average of intensity values from nearby pixels. This weight can be based on a Gaussian distribution. Crucially, the weights depend not only on Euclidean distance of pixels, but also on the radiometric differences. This means the filter preserves edges, as pixels at edges will have large radiometric differences.

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Bilateral Filter in OpenCV is a non-linear, edge-preserving, and noise-reducing smoothing filter. The intensity value at each pixel in an image is replaced by a weighted average of intensity values from nearby pixels. This weight can be based on a Gaussian distribution. Crucially, the weights depend not only on Euclidean distance of pixels, but also on the radiometric differences. This means the filter preserves edges, as pixels at edges will have large radiometric differences.

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Which of the following is true about the Bilateral Filter in OpenCV?

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