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

filter to reduce noise

I need other filter than gaussian filter to get better results. please suggest me

Best 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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MATLAB: Which method is better for denoising image with Gaussian noise

Statistically speaking, a simply local averaging filter would provide the maximum likelihood answer. However that will also blur true edges. There are other simple filters like median filter, Kuwahara filter (demo attached), as well as others for images that are considerably more sophisticated and better like BM3d, non-local means, K-SVD, K-LLD, UINTA, etc.

See this comprehensive overview by one of the leading denoising scientists: https://users.soe.ucsc.edu/~milanfar/publications/journal/ModernTour.pdf

MATLAB: Filter

Code:

   dt = 0.001;         % sampling time (seconds per sample)
   Fs = 1/dt;          % sampling rate (samples per second)
   Fnyq = Fs/2;        % Nyquist frequency (hertz)
   Fco = fm + bw;      % Cut-off frequency (hertz)
   wn = Fco/Fnyq;      % Normalized cut-off (dimensionless)

Explanation:

dt is the sampling time (in seconds per sample)
Fs is the sampling rate (in samples per second)
Fnyq is the Nyquist frequency (in hertz)
Fco is the cutoff frequency (in hertz)
bw = bandwidth (in hertz)
Fc is not needed to compute wn

You should make sure that the following conditions are true:

   bw << fm << fc

and

   bw << fm << Fs

HTH.

Rick

Best Answer

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MATLAB: Filter

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