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Generalized Discrete Multiwavelet Transform with Embedded Prefilter Bank for VQ-Based Image Coding

机译:嵌入式预滤波器组的广义离散多小波变换,用于基于VQ的图像编码

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Prefiltering is required to initialize the scalar signal for the discrete multiwavelet transform (DMWT). Traditional prefllters are not linear phase, often nonorthogonal or nonmaximally decimated. Recently, we suggested an orthogonal symmetric prefilter bank (OSPFB) to tackle this problem but it was still difficult to find a compatible filter bank structure and sometimes there was none, especially for low multiplicity multiwavelets. A new generalized DMWT structure was then proposed by combining the prefllters with the first stage of DMWT. It has the advantages of lower computational complexity and more freedom on designing the prefllters. In this paper, the performance of the new DMWT structure is evaluated by applying to a VQ-based image coding system whose codebook is initialized with a modified approach called cumulative absolute difference (CAD). Satisfactory results are obtained in all cases comparing with the traditional approaches
机译:需要进行预滤波以初始化离散多小波变换(DMWT)的标量信号。传统的预滤器不是线性相位,通常是非正交或非最大抽取。最近,我们提出了一个正交对称预滤波器组(OSPFB)来解决这个问题,但是仍然很难找到兼容的滤波器组结构,有时甚至没有,尤其是对于低多重性多小波。然后,通过将预过滤器与DMWT的第一阶段结合起来,提出了一种新的通用DMWT结构。它具有较低的计算复杂度和设计预过滤器的更多自由的优点。在本文中,将新的DMWT结构的性能应用于基于VQ的图像编码系统,该系统的代码簿采用一种称为累积绝对差(CAD)的改进方法进行了初始化。与传统方法相比,在所有情况下均获得令人满意的结果

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