A fast VQ image coding method based on humans visual attribution and applying wavelet tree structure is proposed in this paper

naming tree structure fast VQ coding. After the characteristics of VQ was analyzed

a statistic method generating a codebook was designed

and a fast VQ coding method was represented. This method can efficiently remove correlation in image data

obtaining a low transmission bit stream. The apparent advantage of the method is to estab lish statistics codebooks for various image data

and each treating need not generate codebook s with a high coding efficient achieved

while it can apply to any opportunity with wavelet transformation used in various image and signal data compression. The experimental results show: The fast VQ coding method proposed in this paper can achieve a compression ratio of 40 with a PSNR of 36.21dB

while its total performance is superior to other methods

and a real time compression using this method may be implemented.