how can i got best denoisy image and which modifications are needed? (you can take any grayimage for testing)

i added noise using n=0+40*randn(size(grayimage)) in grayimage(noisy=grayimage+n). then i have removed noise using medfilt2(noisy, [3 3]); but i have not got best result, so how can i got best denoisy image and which modifications are needed? (you can take any grayimage for testing)

[medfilt2(noisy, [3 3]) works well for salt & pepper noise.]

Answer 1

[Image Analyst]

There are a number of noise reduction methods that are better than median filter. Some of the more famous ones include BM3D, non-local means, K-SVD, K-LLD, UINTA, etc. Other simpler, less sophisticated methods include sigma filters, bilateral filters, mean shift, etc. Try them all! Some are even available in the File Exchange.

[vipul utsav]

i saw only non-local means filter in file exchange

please provide me path for your mention other filter

[Image Analyst]

For example: uinta

Or Professor Milanfar

Or bilateral filtering

Or in general http://lmgtfy.com/?q=K-SVD

[vipul utsav]

thanks for your suggestion