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A greedy tree growing algorithm for the design of variable rate vector quantizers [image compression]

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2 Author(s)
Riskin, E.A. ; Inf. Syst. Lab., Stanford Univ., CA, USA ; Gray, R.M.

A technique for directly designing a variable-rate tree-structured vector quantizer by growing the tree one node at a time rather than one layer at time is presented. The technique is a natural extension of a tree growing method for decision trees. When the tree is pruned with a generalized algorithm for optimally pruning trees, improvement is measured in the signal-to-noise ratio at high rates over pruning a fixed-rate tree-structured vector quantizer of the same initial rate. The growing algorithm can be interpreted as a constrained inverse of the pruning algorithm

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Signal Processing, IEEE Transactions on  (Volume:39 ,  Issue: 11 )