| With the rapid development of multi-media, network technology and mobile communication, video communication has become an inevitable trend. One inherent problem with any communication system is that information may be altered or lost during transmission due to channel noise. The effect of such information loss can be devastating for the transport of compressed video, because any damage to the compressed bitstream may lead to objectionable visual distortion at the decoder. It is well-known that images of natural scenes have predominantly low frequency components, i.e. the color values of spatial and temporal adjacent pixels vary smoothly. These facts can be used to conceal the artifacts caused by transmission errors.All the error concealment techniques recover the lost information by making use of some a prior knowledge about the image/video signals, primarily the temporal and spatial error concealment. First of all, this paper researches kinds of common algorithm of spatial, then a better algorithm is proposed for the disadvantage that not enough accuracy of common algorithm, the algorithm not only improves the accuracy but also speeds up the rate of computing. Secondly, makes a study of typical error concealment algorithms of temporal improves the performance of the original scheme,proposing a new matching method. Thirdly, JM11.0 and a set of network simulation tools that are generally used by JVT by analyzing and performing simulations with the current release of the TML software, Finally, for net test platform, combined with the two new algorithms, and forms a error concealing scheme of adaptive selection of temporal and spatial. The experiment indicates that new scheme PSNR has indeed higher than original scheme. |
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