By Topic

A new two dimensional empirical mode decomposition for images using inpainting

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

3 Author(s)
Min-Sung Koh ; School of Computing and Engineering Sciences, Eastern Washington University, Cheney, WA 99004 ; Esteban Rodriguez-Marek ; Thomas R. Fischer

This paper introduces a two dimensional version of the empirical mode decomposition (2D-EMD) using an inpainting technique. The most natural use for 2D-EMD is in image processing. The algorithm hereby presented is based on the underlining idea of the one-dimensional EMD presented by Huang et al. in, but using inpainting and three surfaces: upper surface, lower surface, and mean surface. Upper and lower surfaces are surfaces connected by local maxima and minima, respectively. The mean surface is calculated by the average of the upper and lower surfaces. Using these three surfaces, the intrinsic mode functions (IMFs) are obtained through an iterative process, as in the 1D-EMD. The lower IMFs of the 1D-EMD correspond to high frequency components. The lower IMFs obtained with 2D-EMD show image edges.

Published in:


Date of Conference:

24-28 Oct. 2010