Vector Quantization Using Tree-Structured Self-Organizing Feature Maps

Tzi-Dar Chiueh, Tser-Tzi Tang, and Lian-Gee Chen

Department of Electrical Engineering National Taiwan University Taipei, Taiwan 10617chiueh@bronco.ee.ntu.edu.tw

Abstract

In this paper, we propose a modified SOFM model with a binary-tree cell structure. During and after training, the centroids of the neurons in the model always constitute a binary tree in the higher-dimensional input space. This model is used to design codebooks for vector quantization coding of images. Simulation results show that the acquired codebook is more diversified and has a tree structure. With these two characteristics, it not only produces better-quality images but also expedites the encoding (quantization) ...

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