Volume 3 Number 8 (Nov. 2008)
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JSW 2008 Vol.3(8): 57-64 ISSN: 1796-217X
doi: 10.4304/jsw.3.8.57-64

Exemplar-based Image Inpainting base on Structure Construction

Jason C. Hung1, Chun-Hong Hwang2, Yi-Chun Liao3, Nick C. Tang4, Ta-Jen Chen4
1Department of Information Technology, The Overseas Chinese Institute of Technology, Taichung, Taiwan
2Department of Computer Information and Network Engeering, Lunghwa University of Science and Technology, Taoyuan County, Taiwan
3Department of Computer Science and Information Engineering, China University of Technology, Hsinchu County, Taiwan
4Department of Computer Science and Information Engineering, Tamkang University, Taipei County, Taiwan


Abstract—Image inpainting technique is that repairs damaged area or remove areas in an image. In order to deal with this kind of problems, not only a robust image inpainting algorithm should be used, technique of structure generation is also needs to adopt in inpainting procedure. In this paper, we extend an exemplar-based image inpainting method by incorporating Bézier curves to construct missing edge information. Before we apply our inpainting procedure to a damaged image, mean shift segmentation is used to extract contours of each region. After the structure information of an image is determined, destroyed contours will be connected in curve fitting process and damaged regions will be inpainted by using exemplar-based inpainting method. The experimental results show that our proposed method could deal with several kinds of pictures well.

Index Terms—Image Inpainting, Color segmentation, Bézier curves, Mean Shift Segmentation

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Cite: Jason C. Hung, Chun-Hong Hwang, Yi-Chun Liao, Nick C. Tang, Ta-Jen Chen, " Exemplar-based Image Inpainting base on Structure Construction," Journal of Software vol. 3, no. 8, pp. 57-64, 2008.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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