Separable filter

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A separable filter in image processing can be written as product of two more simple filters. Typically a 2-dimensional convolution operation is separated into 2 onedimensional filters. This reduces the cost of computing the operator.

Examples[edit]

1. A twodimensional smoothing filter is separated in this sample:

2. Gaussian blur (smoothing)

3. Sobel operator (edge detection)

This works also for Prewitt operator.