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Depth Image Post-processing Method by Diffusion

机译:扩散深度图像后处理方法

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摘要

Multi-view three-dimensional television relies on view synthesis to reduce the number of views being transmitted.  Arbitrary views can be synthesized by utilizing corresponding depth images with textures. The depth images obtained from stereo pairs or range cameras may contain erroneous values, which entail artifacts in a rendered view. Post-processing of the data may then be utilized to enhance the depth image with the purpose to reach a better quality of synthesized views. We propose a Partial Differential Equation (PDE)-based interpolation method for a reconstruction of the smooth areas in depth images, while preserving significant edges. We modeled the depth image by adjusting thresholds for edge detection and a uniform sparse sampling factor followed by the second order PDE interpolation. The objective results show that a depth image processed by the proposed method can achieve a better quality of synthesized views than the original depth image. Visual inspection confirmed the results.
机译:多视点三维电视依靠视点合成来减少传输的视点数量。可以通过利用具有纹理的相应深度图像来合成任意视图。从立体对或测距相机获得的深度图像可能包含错误的值,这在渲染的视图中会带来伪影。然后可以利用数据的后处理来增强深度图像,以达到更好质量的合成视图。我们提出了一种基于偏微分方程(PDE)的插值方法,用于重建深度图像中的平滑区域,同时保留明显的边缘。我们通过调整边缘检测的阈值和均匀的稀疏采样因子,然后进行二阶PDE插值,对深度图像进行建模。客观结果表明,与原始深度图像相比,该方法处理后的深度图像可以获得更好的合成视图质量。目视检查确认了结果。

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