Howtosignalprocessing
- What does a Gaussian blur do to an image?
- What is standard deviation in Gaussian blur?
- What happens Gaussian blur?
- Why might we apply a Gaussian blur to an image before extracting features?
What does a Gaussian blur do to an image?
Photographers and designers choose Gaussian functions for several purposes. If you take a photo in low light, and the resulting image has a lot of noise, Gaussian blur can mute that noise. If you want to lay text over an image, a Gaussian blur can soften the image so the text stands out more clearly.
What is standard deviation in Gaussian blur?
The standard deviation of the Gaussian function controls the amount of blurring. A large standard deviation (i.e., > 2) significantly blurs, while a small standard deviation (i.e., 0.5) blurs less. If the objective is to achieve noise reduction, a rank filter (median) might be more useful in some circumstances.
What happens Gaussian blur?
What is Gaussian blurring? Named after mathematician Carl Friedrich Gauss (rhymes with “grouse”), Gaussian (“gow-see-an”) blur is the application of a mathematical function to an image in order to blur it. “It's like laying a translucent material like vellum on top of the image,” says photographer Kenton Waltz.
Why might we apply a Gaussian blur to an image before extracting features?
Gaussian blur the image to reduce the amount of noise and remove speckles within the image. It is important to remove the very high frequency components that exceed those associated with the gradient filter used, otherwise, these can cause false edges to be detected.
