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- W2576846617 abstract "Super-resolution (SR) algorithms for multiview videos aim at refining the low-resolution (LR) views using high-frequency detail information from adjacent high-resolution (HR) views. However, to refine a LR view, the state-of-the-art methods only exploit the spatial redundancy of a multiview video. To take full advantage of the spatial and temporal redundancy, a new spatiotemporal SR algorithm is proposed in this paper. Depth-image-based rendering (DIBR) establishes coordinate correspondences between different views. Motion estimation handles object motion between different frames. The high-frequency details are extracted in transform domain and added to LR images. In order to merge the details from different HR images, a combination of global and local weights is proposed. The effectiveness of the proposed algorithm is proved theoretically and shown experimentally." @default.
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- W2576846617 date "2016-11-01" @default.
- W2576846617 modified "2023-09-22" @default.
- W2576846617 title "Spatiotemporal super-resolution for multiview video in transform domain" @default.
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- W2576846617 doi "https://doi.org/10.1109/vcip.2016.7805432" @default.
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