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A novel approach for depth image based rendering, based on non-linear transformation of depth values

机译:一种基于深度值的非线性变换的基于深度图像的新方法

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Depth-image-based rendering (DIBR) is the key technology in a 3DTV system, which generates two or more virtual view images from 2D color image and its associated per-pixel depth image. The most troubling problem in DIBR is the appearance of holes in the virtual view images, which are called “disocclusion”. To remove the newly exposed regions, in this paper, we propose a novel approach to synthesize the virtual view images. First, the depth image is pre-processed by an adaptive edge-dependent asymmetric smoothing filter. Secondly, the horizontal displacement of pixels, as the result of 3D image warping, is obtained based on the non-linear adaptive transformation of depth values to depth distances. The experimental results show that the proposed method can efficiently reduce or completely remove the disocclusion and no geometric distortion arises.
机译:基于深度图像的渲染(DIBR)是3DTV系统中的关键技术,其从2D彩色图像及其相关的每个像素深度图像生成两个或更多个虚拟视图图像。 DIBR中最令人不安的问题是虚拟视图图像中的孔的外观,称为“脱离”。要删除新暴露的地区,请在本文中,我们提出了一种新的方法来合成虚拟视图图像。首先,通过自适应边缘相关的不对称平滑滤波器预处理深度图像。其次,基于深度值的深度值的非线性自适应变换来获得作为3D图像翘曲的结果的水平位移。实验结果表明,该方法可以有效地减少或完全去除脱离,并且不会产生几何变形。

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