By Topic

Filtering of color map images by context tree modeling

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
P. Kopylov ; Dept. of Comput. Sci., Joensuu Univ., Finland ; P. Franti

We propose a method for filtering raster map images by context tree modeling. This is a two-pass method. At the first pass, the filter utilizes statistical information about the image spatial structure and stores the statistics in a tree structure. At the second pass, these statistics are used in actual filtering to calculate the probability of the current pixel in its neighborhood. We test this method on a set of map images. We use different noise models to evaluate the performance of the proposed filter. Finally we compare the performance results for our method with the vector median filter. The proposed method does not destroy the object borders and outperforms the vector median filter for a moderate level of noise.

Published in:

Image Processing, 2004. ICIP '04. 2004 International Conference on  (Volume:1 )

Date of Conference:

24-27 Oct. 2004