Inf. Syst. Lab., Stanford Univ., CA.
IEEE Trans Med Imaging. 1990;9(3):290-8. doi: 10.1109/42.57766.
Three techniques for variable-rate vector quantizer design are applied to medical images. The first two are extensions of an algorithm for optimal pruning in tree-structured classification and regression due to Breiman et al. The code design algorithms find subtrees of a given tree-structured vector quantizer (TSVQ), each one optimal in that it has the lowest average distortion of all subtrees of the TSVQ with the same or lesser average rate. Since the resulting subtrees have variable depth, natural variable-rate coders result. The third technique is a joint optimization of a vector quantizer and a noiseless variable-rate code. This technique is relatively complex but it has the potential to yield the highest performance of all three techniques.
三种变速矢量量化器设计技术被应用于医学图像。前两种技术是 Breiman 等人提出的用于最优修剪树状分类和回归算法的扩展。码设计算法找到给定树状矢量量化器（TSVQ）的子树，每个子树在相同或更小的平均速率下具有所有子树中最低的平均失真，因此是最优的。由于生成的子树具有可变深度，因此会产生自然的变速编码器。第三种技术是矢量量化器和无噪变速码的联合优化。该技术相对复杂，但有可能获得三种技术中最高的性能。
