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Lifting factorization based on block parallel system of M-channel perfect reconstruction filter banks

机译:基于M通道完美重构滤波器组块并行系统的提升分解

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Several lifting-based filter banks (LBFBs) are proposed for lossless-to-lossy image coding. However, the conventional methods can not achieve good coding performance due to many rounding operations, and they may have wide dynamic range of lifting coefficients due to inverse matrix. This paper presents a more practical lifting factorization of M-channel perfect reconstruction filter bank (PRFB). Using the block parallel system of PRFBs with an imposed condition, we can factorize them into a novel lifting structure which is called the parallel lifting. The validity of our structures is shown by applying them to lossless-to-lossy image coding.
机译:提出了几种基于提升的滤波器组(LBFB),用于无损到有损图像编码。然而,由于许多舍入操作,常规方法不能获得良好的编码性能,并且由于逆矩阵,它们可能具有宽的提升系数动态范围。本文提出了一种更实用的M通道完美重构滤波器组(PRFB)的提升分解。使用施加条件的PRFB的块并行系统,我们可以将它们分解为一种新颖的提升结构,称为并行提升。通过将其应用于无损到有损图像编码,可以证明我们结构的有效性。

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