Gaussian filter
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* Under the Parameters tab, select a single band or a multiband file as '''Input Image'''. | * Under the Parameters tab, select a single band or a multiband file as '''Input Image'''. | ||
* Select '''gaussian''' from the drop-down list as '''Smoothing Type'''. | * Select '''gaussian''' from the drop-down list as '''Smoothing Type'''. | ||
| − | * Adjust the ''' | + | * Adjust the '''Standard deviation''' to {{typed|text=10}}. |
| − | * Select '''Output pixel type''' {{button|text= | + | * Maximum kernel width is '''128'''. |
| + | * Select '''Output pixel type''' {{button|text=float}}. | ||
* Click {{button|text=Run}}. | * Click {{button|text=Run}}. | ||
Latest revision as of 18:59, 14 June 2021
The Gaussian smoothing filter is used for noise reduction and removing details. The filter is similar to the arithmetic mean filter but it uses a different kernel that represents the shape of a 2 dimensional Gaussian distribution which is defined as \(G_{2D}(x,y,\sigma)=\frac{1}{\sqrt{2 \pi \sigma^2}}e^{-\frac{x^2+y^2}{2\sigma^2}}\) where \(\sigma\) determines the width of the kernel.
[edit] Gaussian filter using OTB
- In the search engine of the Processing Toolbox, type Smoothing and select Smoothing under Image Filtering of the Orfeo Toolbox.
- Under the Parameters tab, select a single band or a multiband file as Input Image.
- Select gaussian from the drop-down list as Smoothing Type.
- Adjust the Standard deviation to 10.
- Maximum kernel width is 128.
- Select Output pixel type float.
- Click Run.
[edit] Gaussian filter using SAGA
- In the search engine of the Processing Toolbox, type Gaussian and select Gaussian filter under Raster Filter of SAGA.
- Under the Parameters tab, select a single band file as Grid.
- Select Circle from the drop-down list as Search Mode.
- Choose 1 as Standard deviation
- Use the 3 pixels as Radius.
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