Nisreen,

Diffusion models have been developed and applied to different areas of image processing:  image denoising, image segmentation, image inpainting, Interpolation. Well known nonlinear diffusion methods are Perona- Malik’s diffusion, Rudin-Osher- Fatemi’s total variation , Mumford- Shah’s functional, Weickert’s tensor diffusion, total variation analyses, Chan - Vese’s active contours.

If you want to learn more about Image denoising applications, go through my profile.

Hope this Helps!

@ Mr. Mandava ,

Thank you for answering,

Could you please give more details about using diffusion models in image denoising and image segmentation.

Can we apply diffusion models to correct intensity inhomogeneity  in 2D images?

Nisreen,

To start with you can go through the following links

Denoising

http://www.cs.berkeley.edu/~malik/papers/MP-aniso.pdf

http://www.lpi.tel.uva.es/muitic/pim/docus/anisotropic_diffusion.pdf

http://www.csse.uwa.edu.au/~pk/research/matlabfns/Spatial/anisodiff.m

Segmentation

http://cdanup.com/10.1.1.2.1828.pdf

http://research.microsoft.com/en-us/um/people/ablake/contours/

http://www.sussex.ac.uk/Users/davidy/teachvision/vision7.html

Yes, you can apply diffusion models to correct intensity inhomogeneity.

@ Mr. Mandava,

I have 2D digital subtraction Angiography images with intensity inhomogeneity, Can I use diffusion model to correct intensity inhomogeneity before segmentation?

Nisreen,

In your case Fractional diffusion works better. Check the paper below for more information

@ Mr. Mandava,

Any MATLAB code about this?

No Nisreen!

@ Mr. Mandava,

Thank very much.

@Nnolim,

Sorry, I could not understand What is the title of the paper?