A new image compression algorithm based on wavelet transform and vector quantization
Liu Y · Electronics Instrumentation Customer · 2005
In this paper, a new image compression encoding algorithm based on wavelet transform and vector quantization is put forward. First the quadtree classification utilizes correlation between the subbands. Then the coefficients are recorded by the means of the transform because of the brother dependencies. At last, we use tree structure to organize coefficients. In each tree, nodes are pruned or retained according to their important. The survived nodes are serializ ed to be a vector, which will be the input of vector quantization. The experiment show in very low bit rate, using the proposed algorithm, the reconstructed image is superior to that of EZW,SPIHT in both of perception and PSNR.