A Gaussian low-pass filter is applied to the subtraction image (S33).

Although this robust filter is theoretically better than the Robust Gaussian filter, the results are very close in both cases and as the Robust Gaussian filter is much simpler to implement, it is preferred in most cases.

The gradient is calculated by the derivative of the Gauss filter.

Performing the Gaussian filter on the single-channel brightness image ensures integral continuity of the image.

A 9 mm FWHM Gaussian kernel smoothing was applied to EPI images prior to statistical analysis.

By default (with β = 0.6252) the behavior of the Cubic spline filter is very close to the Gaussian filter.

The analogue filter in a linear design of a network synthesis type is known as the Butterworth filter, Chebyshev filter, Elliptic filter, Bessel filter and Gaussian filter.

Strength is how strong the gaussian filter kernel is processed.

We now consider using the Gaussian filter for noise reduction.

In order to smooth the contour lines we employed a Gaussian filter.

If L is the result of the convolution, G the Gaussian filter and I the image being processed,

The Gaussian filter was introduced, for profiles, in the [ISO 11562] standard in 1996.

However, more serious work was already underway to produce a natively phase correct filter, the Gaussian filter.

Laplacian presents a simple convolution with the following kernel (that is the limit of discrete Laplacian of Gaussians filter for σ → 0):

A Gaussian filter (2) having a first cutoff frequency extracts a low-frequency component signal in a video signal.