自适应深度边缘锐化3D视频深度编码

Rong Zhang, Ying Chen, M. Karczewicz
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引用次数: 4

摘要

在多视图视频加深度(MVD)表示的3D视频系统中,中间视图可以通过基于深度图像的渲染(DIBR)等技术从传输的纹理视图和相应的深度图中渲染出来。MPEG最近的标准化活动包括基于MVD的3DV编解码器的开发。一种基于H.264/AVC的编解码器被称为3d - atm。由于压缩,重建的深度图通常有一定的扭曲,如模糊的深度边缘,这可能导致在渲染视图中明显的伪影。本文提出了一种基于3DV-ATM的三维视频编码自适应深度边缘锐化方法。提出的自适应深度边缘滤波和沿深度边缘平滑技术可自适应地锐化重构深度帧因压缩而产生的模糊边缘。与锚定软件3DV-ATM相比,在相同的运行时复杂度下,所提出的方法在渲染视图psnr和总体比特率方面平均降低了7.2%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Depth edge sharpening for 3D video depth coding
In 3D video systems with Multiview Video plus Depth (MVD) representation, intermediate views can be rendered from transmitted texture views and corresponding depth maps by techniques such as Depth Image Based Rendering (DIBR). Recent standardization activities in MPEG include the development for such MVD based 3DV codecs. One codec which is H.264/AVC based is called 3DV-ATM. Because of compression, reconstructed depth maps often have certain distortions, such as blurry depth edges, which can result in noticeable artifacts in the rendered views. In this paper, a method of adaptive depth edge sharpening is proposed for 3D video coding, based on the 3DV-ATM. The proposed adaptive depth edge filtering and smoothing along depth edge techniques adaptively sharpen blurry edges of the reconstructed depth frames caused by compression. Compared to the anchor software 3DV-ATM, the proposed method achieves about 7.2% bitrate reduction on average for the rendered view PSNRs versus overall bitrates with comparable runtime complexity.
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