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is there any filter other than gaussian filter to reduce noise? if so what filter can be used?

Asked by Shan Sha on 18 Sep 2018
Latest activity Commented on by Shan Sha on 18 Sep 2018
I need other filter than gaussian filter to get better results. please suggest me

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2 Answers

Answer by Gurunath konka on 18 Sep 2018
 Accepted Answer

Average and median filters are the other filters which reduces the noise in the images, but tends to blur the edges

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Answer by Image Analyst
on 18 Sep 2018

What kind of data do you have? A 1-D signal? A 2-D grayscale or color image?
You can look at simple filters like median, average, Gaussian blur, or there are better but more complicated filters like BM3D, K-SVD, non-local means, Kuwahara (demo attached), K-LLD, etc. Last I checked BM3D was considered state of the art for images, and what everyone else tried to beat (usually unsuccessfully). There are non-local means submissions in the File Exchange.
You might look at this comprehensive overview by one of the leading image noise researchers: https://users.soe.ucsc.edu/~milanfar/publications/journal/ModernTour.pdf

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i am doing project in texture classification. As a pre processing step i need to remove noise. can i use this kuwahara filter
I don't know what your algorithm is, but if you need a noise free image to start with, I'd suggest you start with synthetic, computer-generated images where you have a known, perfect, noise-free image, and then add noise of known characteristics to it. Or you can start with real world images and perhaps remove noise or not, and define those to be the perfect, noise-free images, but I'd recommend the synthetic image generation method first.

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