By Topic

Robust exemplar-based inpainting algorithm using region segmentation

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)
Jino Lee ; Department of Electronic Engineering, School of Engineering, Sogang University, 35 Baekbeom-ro (Sinsu-dong), Mapo-gu, Seoul 121-742, Korea ; Dong-Kyu Lee ; Rae-Hong Park

This paper proposes a robust exemplar-based image inpainting algorithm using region segmentation. Exemplar-based inpainting methods iteratively search the source region and fill the missing or damaged region, i.e., target region, with the most similar patch in the source region. The proposed method uses segmentation map to improve the performance of robust inpainting, in which a segmentation method is used to utilize spatial information in the source region. With the segmentation map, the proposed method automatically selects parameter values of the robust priority function, adaptively determines patch size, and reduces search region. Experimental results with a number of test images show the effectiveness of the proposed method.

Published in:

IEEE Transactions on Consumer Electronics  (Volume:58 ,  Issue: 2 )