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231225s2018 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2018.2852488
|2 doi
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| 041 |
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|a eng
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| 100 |
1 |
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|a Huang, Jun-Jie
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Photo Realistic Image Completion via Dense Correspondence
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|c 2018
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|2 rdamedia
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|a ƒa Online-Ressource
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| 500 |
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|a Date Completed 31.07.2018
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|a Date Revised 31.07.2018
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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| 520 |
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|a In this paper, we propose an image completion algorithm based on dense correspondence between the input image and an exemplar image retrieved from the Internet. Contrary to traditional methods which register two images according to sparse correspondence, in this paper, we propose a hierarchical PatchMatch method that progressively estimates a dense correspondence, which is able to capture small deformations between images. The estimated dense correspondence has usually large occlusion areas that correspond to the regions to be completed. A nearest neighbor field (NNF) interpolation algorithm interpolates a smooth and accurate NNF over the occluded region. Given the calculated NNF, the correct image content from the exemplar image is transferred to the input image. Finally, as there could be a color difference between the completed content and the input image, a color correction algorithm is applied to remove the visual artifacts. Numerical results show that our proposed image completion method can achieve photo realistic image completion results
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| 650 |
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|a Journal Article
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| 700 |
1 |
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|a Dragotti, Pier Luigi
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 27(2018), 11 vom: 12. Nov., Seite 5234-5247
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|x 1941-0042
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|g volume:27
|g year:2018
|g number:11
|g day:12
|g month:11
|g pages:5234-5247
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|u http://dx.doi.org/10.1109/TIP.2018.2852488
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