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首页> 外文期刊>Signal Processing. Image Communication: A Publication of the the European Association for Signal Processing >Stereoscopic view synthesis based on region-wise rendering and sparse representation
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Stereoscopic view synthesis based on region-wise rendering and sparse representation

机译:基于区域渲染和稀疏表示的立体视图合成

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摘要

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 conversion process. One of the main problems in DIBR is how to reduce holes that occur on the generated virtual view images. In this paper, we make two main contributions to deal with the problem. Firstly, a region-wise rendering framework, which divides the original image regions into three special classes and renders each with optimal adaptive process respectively, is introduced. Then, a novel sparse representation-based inpainting method, which can yield visually satisfactory results with less computational complexity for high quality 2D to 3D conversion, is proposed. Numerical experimental results demonstrate the good performance of the proposed methods. (C) 2016 Elsevier B.V. All rights reserved.
机译:基于深度图像的渲染(DIBR)是2D到3D转换过程中的关键技术之一,用于用彩色图像和相应的深度图渲染虚拟视图。 DIBR中的主要问题之一是如何减少在生成的虚拟视图图像上出现的孔。在本文中,我们为解决该问题做出了两个主要贡献。首先,介绍了一种按区域划分的渲染框架,该框架将原始图像区域分为三个特殊类别,并分别通过最佳自适应过程进行渲染。然后,提出了一种新的基于稀疏表示的修复方法,该方法可以产生视觉上令人满意的结果,并且计算量较小,可以实现高质量的2D到3D转换。数值实验结果证明了该方法的良好性能。 (C)2016 Elsevier B.V.保留所有权利。

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