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Video error concealment using block matching and frequency selective extrapolation algorithms

机译:使用块匹配和频率选择外推算法隐藏视频错误

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Error Concealment (EC) is a technique at the decoder side to hide the transmission errors. It is done by analyzing the spatial or temporal information from available video frames. It is very important to recover distorted video because they are used for various applications such as video-telephone, video-conference, TV, DVD, internet video streaming, video games etc. Retransmission-based and resilient-based methods, are also used for error removal. But these methods add delay and redundant data. So error concealment is the best option for error hiding. In this paper, the error concealment methods such as Block Matching error concealment algorithm is compared with Frequency Selective Extrapolation algorithm. Both the works are based on concealment of manually error video frames as input. The parameter used for objective quality measurement was PSNR (Peak Signal to Noise Ratio) and SSIM (Structural Similarity Index). The original video frames along with error video frames are compared with both the Error concealment algorithms. According to simulation results, Frequency Selective Extrapolation is showing better quality measures such as 48% improved PSNR and 94% increased SSIM than Block Matching Algorithm.
机译:错误隐藏(EC)是解码器侧的技术,以隐藏传输错误。通过分析来自可用视频帧的空间或时间信息来完成。恢复扭曲的视频是非常重要的,因为它们用于各种应用,例如视频电话,视频会议,电视,DVD,互联网视频流,视频游戏等。基于传递和基于弹性的方法,也用于删除错误。但这些方法增加了延迟和冗余数据。因此,错误隐藏是错误隐藏的最佳选择。在本文中,将诸如块匹配误差隐藏算法等误差隐藏方法与频率选择外推算法进行了比较。这两种作品都基于隐藏手动错误视频帧作为输入。用于客观质量测量的参数是PSNR(峰值信噪比)和SSIM(结构相似度指数)。与错误隐藏算法进行比较原始视频帧以及错误视频帧。根据仿真结果,频率选择外推显示出更好的质量措施,如48%改进的PSNR和94%的SSIM增加而不是块匹配算法。

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