论文标题

视频中的时空误差隐藏在视频中,通过暂时性外推细化

Spatio-temporal error concealment in video by denoised temporal extrapolation refinement

论文作者

Seiler, Jürgen, Schöberl, Michael, Kaup, André

论文摘要

在视频通信中,由于传输错误引起的扭曲的隐藏对于允许视觉质量和减少错误传播的扭曲很重要。在本文中,将时间推出的延期外推细化引入了一种新型时空误差隐藏算法。该算法分为两个步骤。首先,时间误差隐藏用于获得初始估计。之后,使用空间deno的算法来降低时间外推的不完善性。为此,使用了非本地含量降级,该固定是通过螺旋扫描处理顺序扩展的,并通过适应步骤来改善,以考虑初步的时间外推。这样,时空错误隐藏结果。通过使用改进,可以使用纯粹的时间误差隐藏的视觉上明显的1 dB平均增益。因此,该算法还能够明确优于其他时空误差隐藏算法。

In video communication, the concealment of distortions caused by transmission errors is important for allowing for a pleasant visual quality and for reducing error propagation. In this article, Denoised Temporal Extrapolation Refinement is introduced as a novel spatiotemporal error concealment algorithm. The algorithm operates in two steps. First, temporal error concealment is used for obtaining an initial estimate. Afterwards, a spatial denoising algorithm is used for reducing the imperfectness of the temporal extrapolation. For this, Non-Local Means denoising is used which is extended by a spiral scan processing order and is improved by an adaptation step for taking the preliminary temporal extrapolation into account. In doing so, a spatio-temporal error concealment results. By making use of the refinement, a visually noticeable average gain of 1 dB over pure temporal error concealment is possible. With this, the algorithm also is able to clearly outperform other spatio-temporal error concealment algorithms.

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