Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/185811
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dc.contributor.authorWei Liuen_US
dc.contributor.authorXiaogang Chenen_US
dc.contributor.authorJie Yangen_US
dc.contributor.authorQiang Wuen_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-04-06T07:37:03Z-
dc.date.available2020-04-06T07:37:03Z-
dc.date.issued2017en_US
dc.identifier.other10.1109/TCSVT.2016.2556598en_US
dc.identifier.urihttp://localhost/handle/Hannan/185811-
dc.description.abstractIn this paper, we mathematically analyze one of the most challenging issues in color image-guided depth upsampling: the texture copy artifacts. The optimal guidance weights denoted by balanced weights are proposed to best suppress texture copy artifacts. To both suppress texture copy artifacts and preserve depth discontinuities, a new general weighting scheme called variable bandwidth weighting is proposed. The variable bandwidth weighting scheme is able to adjust guidance weights according to the local depth smoothness. A new concept called relative smoothness is proposed for measuring the local depth smoothness. Given this quantitative smoothness measurement, the proposed weighting scheme can adaptively adjust the bandwidth for calculating the guidance weights in the existing methods. As we use the computationally efficient balanced weights instead of the guidance weights of a large bandwidth, the proposed method can speed up the upsampling process for about 2\times \sim 5\times when compared with the original upsampling methods. Experimental results show the effectiveness and efficiency of the proposed method in suppressing texture copy artifacts, preserving the depth discontinuities and reducing the computational cost at the same time.en_US
dc.format.extent2072,en_US
dc.format.extent2085en_US
dc.publisherIEEEen_US
dc.relation.haspart7457345.pdfen_US
dc.titleVariable Bandwidth Weighting for Texture Copy Artifact Suppression in Guided Depth Upsamplingen_US
dc.typeArticleen_US
dc.journal.volume27en_US
dc.journal.issue10en_US
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7457345.pdf7.84 MBAdobe PDF
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWei Liuen_US
dc.contributor.authorXiaogang Chenen_US
dc.contributor.authorJie Yangen_US
dc.contributor.authorQiang Wuen_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-04-06T07:37:03Z-
dc.date.available2020-04-06T07:37:03Z-
dc.date.issued2017en_US
dc.identifier.other10.1109/TCSVT.2016.2556598en_US
dc.identifier.urihttp://localhost/handle/Hannan/185811-
dc.description.abstractIn this paper, we mathematically analyze one of the most challenging issues in color image-guided depth upsampling: the texture copy artifacts. The optimal guidance weights denoted by balanced weights are proposed to best suppress texture copy artifacts. To both suppress texture copy artifacts and preserve depth discontinuities, a new general weighting scheme called variable bandwidth weighting is proposed. The variable bandwidth weighting scheme is able to adjust guidance weights according to the local depth smoothness. A new concept called relative smoothness is proposed for measuring the local depth smoothness. Given this quantitative smoothness measurement, the proposed weighting scheme can adaptively adjust the bandwidth for calculating the guidance weights in the existing methods. As we use the computationally efficient balanced weights instead of the guidance weights of a large bandwidth, the proposed method can speed up the upsampling process for about 2\times \sim 5\times when compared with the original upsampling methods. Experimental results show the effectiveness and efficiency of the proposed method in suppressing texture copy artifacts, preserving the depth discontinuities and reducing the computational cost at the same time.en_US
dc.format.extent2072,en_US
dc.format.extent2085en_US
dc.publisherIEEEen_US
dc.relation.haspart7457345.pdfen_US
dc.titleVariable Bandwidth Weighting for Texture Copy Artifact Suppression in Guided Depth Upsamplingen_US
dc.typeArticleen_US
dc.journal.volume27en_US
dc.journal.issue10en_US
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7457345.pdf7.84 MBAdobe PDF
Full metadata record
DC FieldValueLanguage
dc.contributor.authorWei Liuen_US
dc.contributor.authorXiaogang Chenen_US
dc.contributor.authorJie Yangen_US
dc.contributor.authorQiang Wuen_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-04-06T07:37:03Z-
dc.date.available2020-04-06T07:37:03Z-
dc.date.issued2017en_US
dc.identifier.other10.1109/TCSVT.2016.2556598en_US
dc.identifier.urihttp://localhost/handle/Hannan/185811-
dc.description.abstractIn this paper, we mathematically analyze one of the most challenging issues in color image-guided depth upsampling: the texture copy artifacts. The optimal guidance weights denoted by balanced weights are proposed to best suppress texture copy artifacts. To both suppress texture copy artifacts and preserve depth discontinuities, a new general weighting scheme called variable bandwidth weighting is proposed. The variable bandwidth weighting scheme is able to adjust guidance weights according to the local depth smoothness. A new concept called relative smoothness is proposed for measuring the local depth smoothness. Given this quantitative smoothness measurement, the proposed weighting scheme can adaptively adjust the bandwidth for calculating the guidance weights in the existing methods. As we use the computationally efficient balanced weights instead of the guidance weights of a large bandwidth, the proposed method can speed up the upsampling process for about 2\times \sim 5\times when compared with the original upsampling methods. Experimental results show the effectiveness and efficiency of the proposed method in suppressing texture copy artifacts, preserving the depth discontinuities and reducing the computational cost at the same time.en_US
dc.format.extent2072,en_US
dc.format.extent2085en_US
dc.publisherIEEEen_US
dc.relation.haspart7457345.pdfen_US
dc.titleVariable Bandwidth Weighting for Texture Copy Artifact Suppression in Guided Depth Upsamplingen_US
dc.typeArticleen_US
dc.journal.volume27en_US
dc.journal.issue10en_US
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7457345.pdf7.84 MBAdobe PDF