Entropy-Coded Lattice Vector Quantization Dedicated to the Block Mixture Densities
Entropy-Coded Lattice Vector Quantization Dedicated to the Block Mixture Densities
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专用于块混合密度的熵编码格向量量化
DOI：
10.1109/tip.2008.2001044
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发表时间：
2008
影响因子：
10.6
通讯作者：
J. Moureaux
中科院分区：
文献类型：
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作者：
L. Guillemot;Y. Gaudeau;S. Moussaoui;J. Moureaux
采用独立同分布（i.i.d.）广义高斯源已经证明了它们在小波域中的高编码性能。众所周知，具有高幅值的小波系数（对应于边缘和纹理）倾向于聚集在少量的向量中。在本文中，我们首先表明，这个属性有一个重大的影响ECLVQ计划的性能。由于经典的i.i.d.假设，我们的第一个建议是通过多维混合广义高斯（MMGG）密度来模拟向量的联合分布。该MMGG模型的主要结果是提供了一个理论框架，可以简单地从i.i.d. - 模型，相应的MMGG -模型。在第二部分中，提出了一种新的更适合于小波编码的码本：所谓的死区格型矢量量化器（DZLVQ）。它包括推广的标量死区矢量量化阈值矢量根据其能量。我们表明，DZLVQ提高了率失真的权衡。实验结果提供了金字塔LVQ计划的假设下，一个多维的混合拉普拉斯（MML）密度。对一组真实的生活图像的实验结果表明了分析曲线的精确性和DZLVQ方案的有效性。
Entropy-coded lattice vector quantization (ECLVQ) with codebooks dedicated to independent identically distributed (i.i.d.) generalized Gaussian sources have proven their high coding performances in the wavelet domain. It is well known that wavelet coefficients with high magnitude (corresponding to edges and textures) tend to be clustered in a few amount of vectors. In this paper, we first show that this property has a major influence on the performances of ECLVQ schemes. Since this clustering property cannot be taken into account by the classical i.i.d. assumption, our first proposal is to model the joint distribution of vectors by a multidimensional mixture of generalized Gaussian (MMGG) densities. The main outcome of this MMGG model is to provide a theoretical framework to simply derive from i.i.d. - models, the corresponding MMGG - models. In a second part, a new codebook better suited to wavelet coding is proposed: the so-called dead zone lattice vector quantizers (DZLVQ). It consists of generalizing the scalar dead zone to vector quantization by thresholding vectors according to their energy. We show that DZLVQ improves the rate-distortion tradeoff. Experimental results are provided for the pyramidal LVQ scheme under the assumption of a multidimensional mixture of Laplacian (MML) densities. Results performed on a set of real life images show the precision of the analytical - curves and the efficiency of the DZLVQ scheme.
“分期意识形态”（1986）
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