文件名称:图像矢量量化LBG算法matlab实现
文件大小:85KB
文件格式:ZIP
更新时间:2013-06-13 12:30:45
矢量量化 VQ LBG 图像压缩 图像量化
Linde, Buzo, and Gray (LBG) proposed a VQ design algorithm based on a training sequence. The use of a training sequence bypasses the need for multi-dimensional integration. The LBG algorithm is of iterative type and in each iteration a large set of vectors, generally referred to as training set, is needed to be processed. Usually, vectors sampled from a group of typical signals to be encoded altogether construct a training set T={x1,x 2,?.x M} ,where xi represents a sampled training vector and M represents the size of training set which is far greater than the codebook size N.
【文件预览】:
main.m
TRAINLVQ.M
codebook.bmp
lvqdecode.m
PSNR.M
LVQ.M
parameter.MAT
findweight.m
testlvq1.m
LVQCODE.M