Gaussian Filtering for Blurring

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radius
5
deviation
3
view
result only
thumbnail of original image
side-by-side comparison
In this Demonstration, the image is blurred using a Gaussian function. Gaussian filters are widely used to reduce the effect of noise and sharp details in the image. They are often used as a preprocessing stage in many algorithms in order to enhance the quality of images. Mathematically, when a Gaussian filter is applied to an image, essentially a kernel is convolved with the image using the pixel radius
r
and the standard deviation
σ
.

External Links

GaussianFilter (Wolfram Documentation Center)
Gaussian Function (Wolfram MathWorld)

Permanent Citation

Srivani Pinneli, Yu-Sung Chang
​
​"Gaussian Filtering for Blurring"​
​http://demonstrations.wolfram.com/GaussianFilteringForBlurring/​
​Wolfram Demonstrations Project​
​Published: March 7, 2011