通过图像和深度图上采样增强视图合成

A. Dziembowski, Adam Grzelka, Dawid Mieloch, O. Stankiewicz, M. Domański
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引用次数: 4

摘要

本文提出了一种提高基于深度图像渲染(deep - image - based Rendering, DIBR)视图合成算法合成的视图质量的方法。该方法在视图合成前将输入的真实视图和相应深度图的分辨率提高了一倍。在合成之后,合成视图的分辨率被降采样回原始分辨率。这种方法对于视图合成算法是透明的,因此可以与任何DIBR方法一起使用。本文介绍了两种合成算法(最先进的MPEG参考软件和我们的视图合成方法)的测试。对于这两种算法,所提出的上采样提高了合成视图的客观和主观质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing view synthesis with image and depth map upsampling
In the paper we present a method for increasing the quality of views synthesized with typical Depth-Image-Based Rendering (DIBR) view synthesis algorithms. In the proposed idea the resolution of input real views and corresponding depth maps is doubled before the view synthesis. After the synthesis, the resolution of a synthesized view is downsampled back to the original resolution. This approach is transparent for the view synthesis algorithms, thus can be used with any DIBR method. In the paper, tests for two synthesis algorithms (the state-of-the-art MPEG reference software and our view synthesis method) are presented. For both algorithms, the proposed upsampling improves objective and subjective quality of synthesized views.
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