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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.
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