Abstract
Image inpainting is an image completion technique that has a wide range of
applications such as image restoration, object removal and occlusion lling in
view synthesis. In this paper, two novel techniques are proposed to enhance the
performance of Criminisi's algorithm, which inpaints images with an exemplar-
based approach. First, a gradient-based searching is developed, which drastically
lowers the computational complexity of global searching. Second, the patch
matching process is modied with a distance-dependent criterion, such that the
accuracy of the best matching candidate is enhanced. The experimental results
have shown that with our proposed technique, computational cost is substantially
reduced and the inpainting quality is also improved. For large images of 1024
768 pixels, our inpainting algorithm is almost 5 times faster than the original
algorithm.
Original language | English |
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Title of host publication | Proceedings of the 33rd WIC Symposium on information theory in the Benelux joint with the 2nd WIC/IEEE SP Symposium on Information Theory and Signal Processing in the Benelux, 24-25 may 2012, Boekeloo, Netherlands |
Pages | 13-19 |
Publication status | Published - 2012 |
Event | conference; the 33rd WIC Symposium on Information Theory in the Benelux; 2012-05-24; 2012-05-25 - Duration: 24 May 2012 → 25 May 2012 |
Conference
Conference | conference; the 33rd WIC Symposium on Information Theory in the Benelux; 2012-05-24; 2012-05-25 |
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Period | 24/05/12 → 25/05/12 |
Other | the 33rd WIC Symposium on Information Theory in the Benelux |