Stochastic Image Denoising

author: Francisco Estrada, University of Toronto Scarborough
published: Dec. 1, 2009,   recorded: September 2009,   views: 4027

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


We present a novel, probabilistic algorithm for image noise removal. We show that suitably constrained random walks over small image neighborhoods provide a good estimate of the appearance of a pixel, and that a stable estimate can be obtained with a small number of samples. We provide a through evaluation and comparison of the proposed algorithm over a large standardized data set. Results show that our method consistently outperforms competing approaches for image denoising.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: