Pyramid-Structured Depth MAP Super-Resolution Based on Deep Dense-Residual Network
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2944646
Abstract: Although deep convolutional neural networks (DCNN) show significant improvement for single depth map (SD) super-resolution (SR) over the traditional counterparts, most SDSR DCNNs do not reuse the hierarchical features for depth map SR resulting in… read more here.
Keywords: resolution; depth map; depth; map super ... See more keywords
Simple Yet Effective Way for Improving the Performance of Depth Map Super-Resolution
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3039429
Abstract: In depth map super-resolution (SR), a high-resolution color image plays an important role as guidance for preventing blurry depth boundaries. However, excessive/deficient use of the color image features often causes performance degradation such as texture-copying/edge-smoothing… read more here.
Keywords: resolution; performance; depth map; depth ... See more keywords
Depth Map Super-Resolution via Joint Local Gradient and Nonlocal Structural Regularizations
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3190553
Abstract: Depth maps have been widely used in many real world applications, such as human-computer interaction and virtual reality. However, due to the limitation of current depth sensing technology, the captured depth maps usually suffer from… read more here.
Keywords: depth map; depth; super resolution; gradient ... See more keywords
MIG-Net: Multi-Scale Network Alternatively Guided by Intensity and Gradient Features for Depth Map Super-Resolution
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2021.3100766
Abstract: The studies of previous decades have shown that the quality of depth maps can be significantly lifted by introducing the guidance from intensity images describing the same scenes. With the rising of deep convolutional neural… read more here.
Keywords: gradient features; depth map; super resolution; gradient ... See more keywords