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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性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)是在解码器端隐藏传输错误的一项技术。通过分析可用视频帧中的空间或时间信息来完成此操作。恢复失真的视频非常重要,因为它们被用于各种应用,例如电视电话,视频会议,电视,DVD,互联网视频流,视频游戏等。基于重传和基于弹性的方法也被用于错误清除。但是这些方法会增加延迟和冗余数据。因此,错误隐藏是隐藏错误的最佳选择。本文将诸如块匹配错误隐藏算法等错误隐藏方法与频率选择性外推算法进行了比较。两项工作均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(结构相似性指数)。将原始视频帧以及错误视频帧与两种错误隐藏算法进行比较。根据仿真结果,与块匹配算法相比,频率选择性外推显示出更好的质量度量,例如PSNR提高了48%,SSIM提高了94%。

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