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Contour-guided image completion using a sample image

[+] Author Affiliations
Mang Xiao, Guangyao Li, Li Xie, Yuhang Mao

Tongji University, College of Electronics and Information Engineering, Room 423 Telecom Building, No. 4800 Cao’an Highway, Jiading District, Shanghai 201804, China

Yunlan Tan

Tongji University, College of Electronics and Information Engineering, Room 423 Telecom Building, No. 4800 Cao’an Highway, Jiading District, Shanghai 201804, China

Jinggangshan University, School of Electronics and Information Engineering, Ji’an 343009, China

J. Electron. Imaging. 24(2), 023029 (Apr 16, 2015). doi:10.1117/1.JEI.24.2.023029
History: Received November 11, 2014; Accepted March 19, 2015
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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.

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Citation

Mang Xiao ; Guangyao Li ; Li Xie ; Yunlan Tan and Yuhang Mao
"Contour-guided image completion using a sample image", J. Electron. Imaging. 24(2), 023029 (Apr 16, 2015). ; http://dx.doi.org/10.1117/1.JEI.24.2.023029


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