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26 October 2016 Improvement of the exemplar-based inpainting
Weijie Huang, Guoshan Zhang
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Journal of Electronic Imaging, Vol. 25, Issue 5, 053038 (October 2016). https://doi.org/10.1117/1.JEI.25.5.053038
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 1017-9909/2016/$25.00 © 2016 SPIE and IS&T
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Weijie Huang and Guoshan Zhang "Improvement of the exemplar-based inpainting," Journal of Electronic Imaging 25(5), 053038 (26 October 2016). https://doi.org/10.1117/1.JEI.25.5.053038
Published: 26 October 2016
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KEYWORDS
Image segmentation
Image processing
Visualization
Volume rendering
Image resolution
RGB color model
Data modeling
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