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WienerFilter[data,r]

removes noise from data by applying a range-r Wiener filter.

WienerFilter[data,r,ns]

assumes an additive noise power value ns.

WienerFilter[data,{r1,r2,…},…]

uses radius ri at level i in data.

Details and Options
Details and Options Details and Options
Examples  
Basic Examples  
Scope  
Data  
Parameters  
Generalizations & Extensions  
Options  
Padding  
Applications  
See Also
Related Guides
History
Cite this Page

WienerFilter

WienerFilter[data,r]

removes noise from data by applying a range-r Wiener filter.

WienerFilter[data,r,ns]

assumes an additive noise power value ns.

WienerFilter[data,{r1,r2,…},…]

uses radius ri at level i in data.

Details and Options

Examples

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Basic Examples  (3)

Wiener filtering of a list:

Filter a TimeSeries:

Filter an image:

Scope  (10)

Data  (5)

Wiener filtering of signal with additive noise:

Filter an audio signal:

Apply WienerFilter to a grayscale image:

Wiener filtering of a 3D image:

Filtering of video frames:

Parameters  (5)

Specify one radius to be used in all directions:

Increasing the radius will result in smoother results:

Wiener filtering just in the first direction:

Second direction:

Wiener filtering of a 3D image in the vertical direction only:

Filtering of the horizontal planes only:

Use different estimates of noise power:

Generalizations & Extensions  (1)

WienerFilter works with numerical sparse arrays:

Options  (3)

Padding  (3)

Smoothing with WienerFilter using different padding methods:

By default, a "Fixed" padding is used:

Specify a custom padding:

Applications  (4)

Denoise a grayscale image:

Denoise an ultrasound image using WienerFilter:

Remove Gaussian color noise from an image:

Unsharp masking using Wiener filtering:

Wolfram Research (2010), WienerFilter, Wolfram Language function, https://reference.wolfram.com/language/ref/WienerFilter.html (updated 2025).

Text

Wolfram Research (2010), WienerFilter, Wolfram Language function, https://reference.wolfram.com/language/ref/WienerFilter.html (updated 2025).

CMS

Wolfram Language. 2010. "WienerFilter." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2025. https://reference.wolfram.com/language/ref/WienerFilter.html.

APA

Wolfram Language. (2010). WienerFilter. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/WienerFilter.html

BibTeX

@misc{reference.wolfram_2025_wienerfilter, author="Wolfram Research", title="{WienerFilter}", year="2025", howpublished="\url{https://reference.wolfram.com/language/ref/WienerFilter.html}", note=[Accessed: 01-March-2026]}

BibLaTeX

@online{reference.wolfram_2025_wienerfilter, organization={Wolfram Research}, title={WienerFilter}, year={2025}, url={https://reference.wolfram.com/language/ref/WienerFilter.html}, note=[Accessed: 01-March-2026]}