JICCE (한국정보통신학회)
Current Result Document :
| 한글제목(Korean Title) |
Visual Quality Enhancement of Three-Dimensional Integral Imaging Reconstruction for Partially Occluded Objects Using Exemplar-Based Image Restoration |
| 영문제목(English Title) |
Visual Quality Enhancement of Three-Dimensional Integral Imaging Reconstruction for Partially Occluded Objects Using Exemplar-Based Image Restoration |
| 저자(Author) |
Miao Zhang
Zhaolong Zhong
Yongri Piao
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| 원문수록처(Citation) |
VOL 14 NO. 01 PP. 0057 ~ 0063 (2016. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In generally, the resolution of reconstructed three-dimensional images can be seriously degraded by undesired occlusions in the integral imaging system, because the undesired information of the occlusion overlap the thre e-dimensional images to be reconstructed. To solve the problem of the undesired occlusion, we present an exemplar-based i mage restoration method in integral imaging system. In the proposed method, a minimum spanning tree-based stereo matchin g method is used to remove the region of undesired occlusions in each elemental image. After that, the removed occlusion regi on of each elemental images are re-established by using the exemplar-based image restoration method. For further improve th e performance of the image restoration, the structure tensor is used to solve the filling error cause by discontinuous struct ures. Finally, the resolution enhanced three-dimensional images are reconstructed by using the restored elemental images. T he preliminary experiments are presented to demonstrate the feasibility of the proposed method.
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| 키워드(Keyword) |
Integral Imaging
Image restoration
Computational reconstruction
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| 파일첨부 |
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