Gaussian Smoothing

​
size
kernel display
matrix
continuous 3D
image
baby
letters
Kernel
Result
This Demonstration shows the smoothing of an image using a 2D convolution with a Gaussian kernel.
The kernel is sampled and normalized using the 2D Gaussian function
1
2π
2
σ
-
2
x
+
2
y
2
2
σ

.
The standard deviation
σ
is chosen to be one fifth of the width of the kernel.

External Links

Convolution (Wolfram MathWorld)
Gaussian Function (Wolfram MathWorld)

Permanent Citation

Yu-Sung Chang
​
​"Gaussian Smoothing"​
​http://demonstrations.wolfram.com/GaussianSmoothing/​
​Wolfram Demonstrations Project​
​Published: March 7, 2011