视频通信自适应联合时空错误隐藏

Jürgen Seiler, André Kaup
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引用次数: 15

摘要

在过去的几年中,视频通信在越来越多的环境中得到了应用。不幸的是,其中一些很容易出错,并且由于传输错误而导致的块丢失的风险是普遍存在的。为了减少这些块损失的影响,提出了一种新的时空误差隐藏算法。该算法利用空间和时间信息将信号外推到丢失区域。外推分两步进行,首先进行初步的时间外推,然后利用丢失块的空间邻域来生成原始信号的模型。通过应用空间细化,可以实现更高的隐藏质量,与未细化的底层纯时间外推相比,PSNR增益高达5.2 dB。
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Adaptive joint spatio-temporal error concealment for video communication
In the past years, video communication has found its application in an increasing number of environments. Unfortunately, some of them are error-prone and the risk of block losses caused by transmission errors is ubiquitous. To reduce the effects of these block losses, a new spatio-temporal error concealment algorithm is presented. The algorithm uses spatial as well as temporal information for extrapolating the signal into the lost areas. The extrapolation is carried out in two steps, first a preliminary temporal extrapolation is performed which then is used to generate a model of the original signal, using the spatial neighborhood of the lost block. By applying the spatial refinement a significantly higher concealment quality can be achieved resulting in a gain of up to 5.2 dB in PSNR compared to the unrefined underlying pure temporal extrapolation.
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