Advantages/Disadvantages of using and not using a gaussian filter

Usually and conceptually, when it comes to noise removal for a picture with gaussian noise, what are the advantages and disadvantages between using a gaussian averaging filter and not filtering the image at all?

Answer 1

[Youssef Khmou]

hi ,

For more details refer to : http://www.intelligence.tuc.gr/~petrakis/courses/computervision/filtering.pdf

Properties of Gaussian Filtering :

•Gaussian smoothingis very effective for removing Gaussian noise

•The weightsgive higher significance to pixels near the edge (reduces edge blurring)

•They are linearlow pass filters

•Computationally efficient(large filters are implemented using small 1D filters)

•Rotationally symmetric(perform the same in all directions)

•The degree of smoothingis controlled by σ(larger σfor more intensive smoothing)

So in general, you have many possibilities : try Gaussian filter, and compare it with other algorithms such as Wiener filter, Median filter( circular, rectangular, diagonal,...), Gabor Filter, Kalman filter ,...

[Charles]

Thank you so much for the helpful suggestions. Thanks! :)

Answer 2

[Image Analyst]

Gaussian Filter Advantages: reduces noise

Gaussian Filter Disadvantages: takes time, reduces details

No filtering at all advantages: much faster since you're not doing anything.

No filtering at all disadvantages: no noise reduction at all.