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Adaptive edge-oriented depth image smoothing approach for depth image based rendering

机译:基于深度图像的渲染的自适应边缘导向深度图像平滑方法

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摘要

A depth image based rendering (DIBR) is the process which uses one 2D color image and its associated depth image to render virtual view images. A problem in DIBR is how to reduce the number of holes occurring on the generated virtual view images. To reduce the holes occurrence, the depth image is pre-processed by smoothing filter before image warping. However, smoothing the whole depth image may introduce some geometric distortions on the generated virtual images and increase the computational time. In this paper, an adaptive edge-oriented smoothing process is proposed to solve the problem. The proposed method adopts an edge dependent depth filter to predict the holes region and then the horizontal smoothing filter is first employed on the predicted holes regions. If hole regions are with vertical edges, the depth image is further pre-processed by asymmetric smoothing filter. The experimental results show that the proposed method can reduce the geometric distortions on the virtual view and preserve the depth quality.
机译:基于深度图像的渲染(DIBR)是使用一个2D彩色图像及其关联的深度图像来渲染虚拟视图图像的过程。 DIBR中的问题是如何减少在生成的虚拟视图图像上出现的孔的数量。为了减少孔的出现,在图像变形之前通过平滑滤波器对深度图像进行预处理。但是,平滑整个深度图像可能会在生成的虚拟图像上引入一些几何失真,并增加计算时间。本文提出了一种自适应的面向边缘的平滑方法来解决该问题。所提出的方法采用边缘相关的深度滤波器来预测孔区域,然后在预测的孔区域上首先使用水平平滑滤波器。如果孔区域具有垂直边缘,则通过不对称平滑滤波器对深度图像进行进一步预处理。实验结果表明,该方法可以减少虚拟视图上的几何畸变,并保持深度质量。

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