Gaussian Filtering for Blurring

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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 and the standard deviation
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Contributed by: Srivani Pinneli and Yu-Sung Chang (March 2011)
Open content licensed under CC BY-NC-SA
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"Gaussian Filtering for Blurring"
http://demonstrations.wolfram.com/GaussianFilteringForBlurring/
Wolfram Demonstrations Project
Published: March 7 2011