Hierarchical Address Vector Quantization for Image Coding Based on Kohonen Neural Network

摘要

This paper presents a Variable-block-size vector quantization coding algorithm. A hierarchical coding model is to be made by utilizing the interblock correlation.This method can offer high quality coded images when the bit rates is below 0.3 bpp. The codebook design is carried out by Kohonen Neural Networks.