how can i denoise images using machine learning techniques?

i need code for any kind of machine learning like for example neural network for denoising medical images please

[harjeet singh]

for that you have to trained the neural network which needs dataset, and which type of noise you want to remove is that a salt and peeper or a Gaussian noise?

[iman mostafa]

three noises salt and pepper,speckle and gaussian

Answer 1

[Walter Roberson]

Code for any kind of machine learning: see http://www.mathworks.com/solutions/machine-learning/examples.html

[iman mostafa]

but these codes not used for denoising thanks for replying

[Walter Roberson]

I quote: "i need code for any kind of machine learning like for example ..." I posted a link to numerous examples of kinds of machine learning. If you wanted code for machine learning for denoising then you should have asked for that only. I might have pointed you to http://www.mathworks.com/videos/signal-processing-for-machine-learning-99887.html or http://www.mathworks.com/matlabcentral/fileexchange/28175-on-the-kernel-function-selection-of-nonlocal-filtering-for-image-denoising

Answer 2

[Image Analyst]

See my attached demos for removing Salt and Pepper noise. Note: they do not use machine learning though.

For speckle noise, it depends on the source of the speckle. For example in astronomy there is the Knox-Thompson algorithm and its many improvements over the years. Other methodologies like involving lasers and ultrasound may have their own algorithms that were developed and optimized for that particular technique.