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图像压缩经典算法-LBG
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.
2009-09-20
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