You are viewing the course site for a past offering of this course. The current offering may be found here.
Lecture 20: Image Processing (30)
bilalsyed7

Gaussian blurs have nice properties such as having no sharp edges which then causes them to not introduce ringing into filtered images. GB's are considered to be low pass filters which attenuate high frequency signals and their bode plots appear as parabolas. This technique is used a lot prior to edge detection in practice in order to reduce noise in an image.

greeknerd1

I'm wondering why we use a Gaussian equation to blur an image. There are lots of other equations that can blur an image at various depths. Is the Gaussian blur commonly used in practice?

rubywerman

Gaussian blur can be used to remove noise and chromatic aberration. It's also a good technique for designers/photographers to emphasize/focus on one aspect of an image

SmurphySean

Guassian blur is useful for photographers capturing low-light photos as it helps to mute the noise

yfz3357

I think Gaussian blur is used in practice. For example, you can find it in photo editing tools like photoshop or programs like openCV.

BohanYu

Gaussian blurring is also used for reducing the size of an image. Here is an excerpt from Wikipedia: "When downsampling an image, it is common to apply a low-pass filter to the image prior to resampling. This is to ensure that spurious high-frequency information does not appear in the downsampled image (aliasing). Gaussian blurs have nice properties, such as having no sharp edges, and thus do not introduce ringing into the filtered image."

You must be enrolled in the course to comment