Gaussian Filtering for Blurring

Requires a Wolfram Notebook System

Interact on desktop, mobile and cloud with the free Wolfram CDF Player or other Wolfram Language products.

Requires a Wolfram Notebook System

Edit on desktop, mobile and cloud with any Wolfram Language product.

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 .

Contributed by: Srivani Pinneli and Yu-Sung Chang (March 2011)
Open content licensed under CC BY-NC-SA


Snapshots


Details

detailSectionParagraph


Feedback (field required)
Email (field required) Name
Occupation Organization
Note: Your message & contact information may be shared with the author of any specific Demonstration for which you give feedback.
Send