Share Email Print

Journal of Electronic Imaging

Contour-guided image completion using a sample image
Author(s): Mang Xiao; Guangyao Li; Li Xie; Yunlan Tan; Yuhang Mao
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Image completion techniques are required to fill in missing regions in digital images. We propose a method that focuses on the complex structure of the foreground object. We observe that if we match the complete deformable contour of the sample object and obtain the missing contour (i.e., point set positions), the structure of the damaged object can be reconstructed. We further find that the reconstructed contour provides sufficient information to complete the image, which generates contour guidance maps as soft constraints. With the contour guidance maps, we then fill in the incomplete image parts by combining textures of both the damaged image and the sample object using optimization techniques. Experimental results demonstrate that our method is a potentially superior method for filling target regions of incomplete foreground objects with complex structure.

Paper Details

Date Published: 16 April 2015
PDF: 11 pages
J. Electron. Imaging. 24(2) 023029 doi: 10.1117/1.JEI.24.2.023029
Published in: Journal of Electronic Imaging Volume 24, Issue 2
Show Author Affiliations
Mang Xiao, Tongji Univ. (China)
Guangyao Li, Tongji Univ. (China)
Li Xie, Tongji Univ. (China)
Yunlan Tan, Tongji Univ. (China)
Jinggangshan Univ. (China)
Yuhang Mao, Tongji Univ. (China)

© SPIE. Terms of Use
Back to Top