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Three-Dimensional Binary-Uncoded Video Compression using 3DSPIHT-ZTR

机译:使用3DSPIHT-ZTR的三维二进制 - 未编码的视频压缩

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In conventional video coding, motion compensation is commonly being used to remove the temporal redundancy. But the computational complexity introduced by the motion compensation can be very high, especially when the full search is adopted. The 3DSPIHT resolves this problem by replacing the motion compensation with the temporal wavelet transform, which require lower computational complexity. However, the performance of the 3DSPIHT is optimal only when Arithmetic Coding (AC) is incorporated. This contradicts the initial idea of reducing the computational complexity with the wavelet transform, because the computational complexity introduced by AC is sufficiently high. In this paper, an efficient binary-uncoded algorithm for video coding called the 3DSPIHT-ZTR is proposed. The idea is to re-introduce the use of ZTR symbol, which is initially used in the Embedded Zerotree Wavelet (EZW) algorithm, into 3DSPIHT. In addition, the significant offspring are also encoded in a slightly different way to further enhance the performance. The performance of 3DSPIHT-ZTR is approximately 1.5dB better than the conventional 3DSPIHT in terms of PSNR. Its performance is also comparable to 3DSPIHT with AC under certain circumstances.
机译:在传统的视频编码中,通常用于去除时间冗余的运动补偿。但是,由运动补偿引入的计算复杂性可以非常高,尤其是当采用完整搜索时。通过用时间小波变换替换需要较低的计算复杂度的运动补偿,3DSPIHT通过替换运动补偿来解决这个问题。但是,只有在算术编码(AC)结合到算术编码(AC)时,3DSPIHT的性能才是最佳的。这与降低与小波变换来降低计算复杂度的初步思想相矛盾,因为AC引入的计算复杂性足够高。在本文中,提出了一种称为3DSPIHT-ZTR的视频编码的有效二进制未编码算法。该想法是重新介绍ZTR符号的使用,最初在嵌入的Zerotree小波(EZW)算法中使用,进入3DSPIHT。此外,显着的后代也以略微不同的方式编码,以进一步增强性能。在PSNR方面,3DSPIHT-ZTR的性能比传统的3DSPIHT更好地为1.5dB。在某些情况下,它的性能也与AC的3DSPIHT相当。

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