Gaussian blur

The Gaussian blur effect provides an blurring tool for picture as well as for z matrix data. The effect buries artifacts due measurement noise and distortions.

Read on for detailed explanation about

• Input data
• Where to apply
• Settings
• Border pixel handling
• Shortcut keys

Input data

Picture data as well as the z matrix data are appropriate. Select therefore the "Picture" or "Z-matrix" option.

Where to apply

The effect can be applied to the entire image or to a previously selected region. Uncheck or check the option "Apply to selection only".

Settings

The radius defines the number of neighbor pixels which are taken into account. A higher number leads to higher blur and vice versa.

Border pixel handling

The effect compares a current analyzed pixel with its neighbor pixels. At the image borders the missing neighbor pixels can be handled in two different ways:

• Replicate: The missing neighbor pixels are duplicated from their mirror-inverted counterpart within the image dimensions.
• Wrap around: The origin image will be duplicated and periodically attached to itself. Thus, dealing with image borders is avoided. But note: This option should not be applied to tilted images because height differences might overcast the features of your interest.

Shortcut keys

The execution of the function may be started by pressing two different shortcut keys:

• Return: The function will be applied to all selected images.
• Shift+Return: The function will be applied to the next selected image only.

For more shortcut keys see our detailed list.