Howtosignalprocessing
- What does a Gaussian blur do to an image?
- How do you achieve the blurring of the image in the frequency domain?
- What type of effects does Gaussian low-pass filter bring forth?
- What happens Gaussian blur?
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.
How do you achieve the blurring of the image in the frequency domain?
Filtering. Low pass filtering involves the elimination of the high frequency components in the image. It results in blurring of the image (and thus a reduction in sharp transitions associated with noise).
What type of effects does Gaussian low-pass filter bring forth?
The Gaussian low pass filter attenuates frequency components that are further away from the centre (W/2, H/2), A~1/σWhere σ is standard deviation of the equivalent spatial domain Gaussian filter. Figure 3, 4, 5 shows the result of Gaussian filter. Ringing (wave) effect is avoided in the Gaussian filter.
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.
