Computational volumetric reconstruction of integral imaging with improved depth resolution considering continuously non-uniform shifting pixels
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Computational volumetric reconstruction of integral imaging with improved depth resolution considering continuously non-uniform shifting pixels

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Computational volumetric reconstruction of integral imaging with improved depth resolution considering continuously non-uniform shifting pixels

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dc.contributor.author Cho, Byungwoo
dc.contributor.author Kopycki, Przemyslaw
dc.contributor.author Martínez Corral, Manuel
dc.contributor.author Cho, Myungjin
dc.date.accessioned 2018-08-27T06:44:25Z
dc.date.available 2020-08-18T04:45:06Z
dc.date.issued 2018
dc.identifier.uri http://hdl.handle.net/10550/67369
dc.description.abstract In this paper, we propose a new computational volumetric reconstruction technique of three-dimensional (3D) integral imaging for depth resolution enhancement by using non-uniform and integer-valued shifting pixels. In a typical integral imaging system, 3D images can be recorded and visualized using a lenslet array. In previous studies, many computational reconstruction techniques such as computational volumetric reconstruction and pixel of elemental images rearrangement technique (PERT) have been reported. However, a computational volumetric reconstruction technique has low visual quality and depth resolution because low-resolution elemental images and uniformly distributed shifting pixels are used for reconstruction. Although PERT can enhanced the visual quality of the 3D images, the size of the reconstructed 3D images is different from the original scene. On the other hand, our proposed method uses non-uniformly distributed shifting pixels for reconstruction instead of uniformly distributed shifting pixels. Therefore, the visual quality and depth resolution may be enhanced. Finally, our experimental results show the improvement of depth resolution and visual quality of the reconstructed 3D images.
dc.language.iso eng
dc.relation.ispartof Optics and Lasers in Engineering, 2018, vol. 111, p. 114-121
dc.rights.uri info:eu-repo/semantics/openAccess
dc.source Cho, Byungwoo Kopycki, Przemyslaw Martínez Corral, Manuel Cho, Myungjin 2018 Computational volumetric reconstruction of integral imaging with improved depth resolution considering continuously non-uniform shifting pixels Optics and Lasers in Engineering 111 114 121
dc.subject Imatges Processament Tècniques digitals
dc.subject Òptica
dc.title Computational volumetric reconstruction of integral imaging with improved depth resolution considering continuously non-uniform shifting pixels
dc.type info:eu-repo/semantics/article
dc.date.updated 2018-08-27T06:44:25Z
dc.identifier.doi https://doi.org/10.1016/j.optlaseng.2018.07.016
dc.identifier.idgrec 126701
dc.embargo.terms 2 years

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