搜索资源列表
LBG
- LBG vector quantization source code
0213201_04_VQ
- 是图像压缩处理的一种很好的方法,他比lbg存在这速度快,效率高的优点
lbg
- 基于LBG算法的矢量量化编码用MATLAB实现图像压缩-Image compression based on the LBG algorithm for vector quantization coding with MATLAB
Vector-quantization-of-the-C
- 矢量量化算法的C语言实现:LBG(K-均值)聚类算法,在欧几里的距离基础上用LBG算法将输入向量聚类。-Vector quantization of C language implementation algorithm:LBG (k-means) clustering algorithm, in several European based on the distance with LBG algorithm will input vector clustering.
CPP-code
- SOFM和LBG算法用于图像编码,块编码,块分割,遗传算法,有完整的程序文件和说明文件-The SOFM LBG algorithm for image coding, block coding, block segmentation, genetic algorithm, a complete program files and documentation
Vector-quantization
- 采用自组织映射算法(SOM)设计码书,达到全局最优,同时采用组合码字和图像块动态划分等优化算法,最终实现的码书性能比LBG算法有很大提高。这是中科大视频技术的final project,附有最终版的report和presention。-Using self-organizing map algorithm (SOM) designed codebook, the global optimum, while using a combination code word and image block
LBG
- 这个程序关于图像的压缩编码,实现了对图像的基于LBG算法的矢量量化编码-This program for image compression coding, to achieve the images based on vector quantization coding LBG algorithm
LBG
- 图像矢量量化的经典LBG算法matlab程序-Image vector quantization of classical LBG algorithm matlab program
shiliang
- 图像矢量量化matlab小程序,基于LBG算法和全搜索算法-Matlab image vector quantization small program, and full search algorithm based on LBG algorithm
LBG
- 理解使用向量量化进行图像量化的原理:对序列中的许多样本进行联合量化,用一个值代替相似的一组值,减少量化误差; 掌握向量量化器码书设计的方法,此次实验使用LBG算法设计码书; 3. 对LBG算法的理解和使用; 4.Matlab矩阵数据的处理。-Understood that the use of vector quantization for image quantized principle: a number of samples of the sequence are joint
LBG
- LBG算法是一种经典的矢量量化聚类算法,本程序用MATLAB实现,方便仿真。-LBG algorithm with MATLAB
LBG
- 利用LBG算法对若干图像文件进行归类,输出码本及分类结果 包含vector.txt及LBG.m两个文件,其中vector.txt文件为所有图像的矢量 LBG.m文件为图像检索,分类算法-LBG algorithm used to classify a number of image files, the output code and classification results Contains vector.txt and LBG.m two files, where the v
lbg
- 就是使用矢量量化中的经典算法LBG算法,实现图像压缩(Is the use of vector quantization in the classic algorithm LBG algorithm to achieve image compression)