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An enhanced depth map based rendering method with directional depth filter and image inpainting

机译:具有方向深度滤镜和图像修复的基于深度图的增强渲染方法

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Depth image-based rendering (DIBR), which is used to render virtual views with a color image and the corresponding depth map, is one of the key techniques in the 2D to 3D video conversion process. In this paper, a novel method is proposed to partially solve two puzzles of DIBR, i.e. visual image generation and hole filling. The method combines two different approaches for synthesizing new views from an existing view and a corresponding depth map. Disoccluded parts of the synthesized image are first classified as either smooth or highly structured. At structured regions, inpainting is used to preserve the background structure. In other regions, an improved directional depth smoothing is used to avoid disocclusion. Thus, more details and straight line structures in the generated virtual image are preserved. The key contributions include an enhanced adaptive directional filter and a directional hole inpainting algorithm. Experiments show that the disocclusion is removed and the geometric distortion is reduced efficiently. The proposed method can generate more visually satisfactory results.
机译:基于深度图像的渲染(DIBR)是2D到3D视频转换过程中的关键技术之一,用于渲染带有彩色图像和相应深度图的虚拟视图。在本文中,提出了一种新颖的方法来部分解决DIBR的两个难题,即视觉图像生成和孔填充。该方法结合了两种不同的方法,用于从现有视图和相应的深度图合成新视图。首先将合成图像的遮挡部分分类为平滑或高度结构化。在结构化区域,可以使用修复来保留背景结构。在其他区域,使用了改进的方向深度平滑来避免遮挡。因此,保留了所生成的虚拟图像中的更多细节和直线结构。关键贡献包括增强型自适应定向滤波器和定向孔修复算法。实验表明,消除了遮挡并有效降低了几何变形。所提出的方法可以产生更令人满意的视觉效果。

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