LBG算法是矢量量化码书设计的经典算法。
LBG algorithm is a classical algorithm for vector quantization.
提出了一种矢量量化码书设计及编码的快速算法。
A fast algorithm of encoding and codebook designing for vector quantization is proposed.
矢量量化码书设计本质是搜索训练矢量的最佳分类。
VQ codebook design is essentially a classification of training vectors.
本文提出了基于改进禁止搜索(TS)算法的矢量量化(VQ)码书设计方法。
Codebook design algorithms based on tabu search (TS) approach are presented for vector quantization (VQ).
新算法采用分类码书设计和残留编码，大大提高了图像的客观指标和主观视觉效果。
The new algorithm, including the sorting codebook design and the remains coding, greatly improves the objective level and the subjective visual impression.
结果表明，基于禁止搜索的两种码书设计方案所生成的码书性能都比LBG算法有明显提高。
Tests show that the proposed two algorithms based on the tabu search approach can greatly improve the codebook performance compared to the conventional LBG algorithm.
矢量量化的初始码书设计是很重要的，影响或决定着其后码书形成算法的迭代次数和最终的码书质量。
In vector quantization, the initial codebook design influences or determines The Times of iteration of codebook training method and the quality of codebook. So it is very important for VQ codebook.
本文提出一种粒子群分组并行寻优码书设计算法，应用于图像的矢量量化编码中，它可以得到性能较好的码书。
This paper presents swarm optimization algorithm based on a pair of parallel particles, which can be used to get a good codebook in the vector quantization of image coding.
最后，在基于局部余弦变换的分维矢量量化的研究中，对LCT变换系数采用分维矢量量化的方式进行码书设计。
Finally, in split vector quantization based on LCT research, split vector quantization is adopted to quantize LCT transform coefficients and to design the codebook.
对向传播神经网络(CPN)可以作为矢量量化器用于图像压缩，但CPN学习算法在进行码书设计时存在两个明显的缺陷。
The Counterpropagation Network (CPN) can be applied to image compression as a vector quantizer. However, the CPN learning algorithm has two obvious disadvantages in codebook designing.
因此，如何获得全局最优的码书成为矢量量化算法设计的主要研究问题之一。
So, how to achieve global optimal codebook become the one of key problems of designing VQ algorithm.
本文给出了一种新的图像矢量量化码书的优化设计方法——粒子对算法。
This paper presents a new strategy of particle-pair(PP) for vector quantization(VQ) in image coding.
该方法利用原图像的均值图像设计编码码书，利用高阶统计量对域块进行分类，可以有效地减少域池中域块之间的相关性。
This method USES the mean image to generate the domain pool, then, classes the domain blocks according to their high order statistics.
误差图像进行分形矢量量化编码时，使用设计的自适应二维维纳数字滤波器，对收缩的均值图像进行滤波后，可构造好的码书。
When coding the erroneous image by fractal vector quantization, a self-adaptive 2-d wiener digital filter to filtrate the contracted mean value image, which can result into a good quality codebook.
误差图像进行分形矢量量化编码时，使用设计的自适应二维维纳数字滤波器，对收缩的均值图像进行滤波后，可构造好的码书。
When coding the erroneous image by fractal vector quantization, a self-adaptive 2-d wiener digital filter to filtrate the contracted mean value image, which can result into a good quality codebook.
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