how can i got best denoisy image and which modifications are needed? (you can take any grayimage for testing)
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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.]
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Accepted Answer
Image Analyst
on 4 Feb 2013
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.
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