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Local Edge Structure Guided Depth Up-Sampling

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Signal and Information Processing, Networking and Computers

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 917))

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Abstract

The current depth up-sampling cannot effectively using the pixel correlation and the edge structure between depth map and color map. In this paper, we proposes a new depth up-sampling method based on the local edge structure. Firstly, the non-robust pixel refinement in the low resolution (LR) depth image is obtained from the LR sobel-based edge map. Then, the structural consistency judgment within the depth map and the color map and the pixels classification is implemented with the guidance of the gradient matrix of the high resolution (HR) color image. Finally, according to the influence between pixels and spatial location constraints, the depth map is refined by the effective depth. Extensive experiments demonstrate that the proposed method outperforms conventional interpolation algorithms and some other edge-based depth up-sampling methods.

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References

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Correspondence to Yannan Ren .

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Wang, C. et al. (2023). Local Edge Structure Guided Depth Up-Sampling. In: Sun, J., Wang, Y., Huo, M., Xu, L. (eds) Signal and Information Processing, Networking and Computers. Lecture Notes in Electrical Engineering, vol 917. Springer, Singapore. https://doi.org/10.1007/978-981-19-3387-5_133

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  • DOI: https://doi.org/10.1007/978-981-19-3387-5_133

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-3386-8

  • Online ISBN: 978-981-19-3387-5

  • eBook Packages: EngineeringEngineering (R0)

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