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 establish statistics codebooks for various image data

and each treating need not generate codebooks 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.