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Improvement of the exemplar-based inpainting

[+] Author Affiliations
Weijie Huang, Guoshan Zhang

Tianjin University, School of Electrical Engineering and Automation, 92 Weijin Road, Tianjin 300072, China

J. Electron. Imaging. 25(5), 053038 (Oct 26, 2016). doi:10.1117/1.JEI.25.5.053038
History: Received May 11, 2016; Accepted October 3, 2016
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Abstract.  This paper proposes an improved exemplar-based inpainting using image segmentation, image quilting, and spatial blending to reduce the excessively propagating texture and pathological geometric configurations. A graph-based segmentation is used to generate an initial segmented map. The segmented regions are merged by a K-means approach with texture similarity to generate a further texture-based segmented map, which reduces the candidate source space and determines whether to utilize image quilting in the iterative updating process. An improved spatial blending is introduced as a postprocess to smooth the filled image when the filling process is completed. Experimental results show that this exemplar-based inpainting approach has a good visual effect and reduces the computing time.

© 2016 SPIE and IS&T

Citation

Weijie Huang and Guoshan Zhang
"Improvement of the exemplar-based inpainting", J. Electron. Imaging. 25(5), 053038 (Oct 26, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.5.053038


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