【正文】
quantization. 均勻量化 Step 3: for 13 wave bands set up the zerotree. ? Store the sign map of significant ? Store the relation between significant and insignificant coefficients DWT + GM(1,1) to pression Image2 Step 4: apply the GM(1,1) to model the significant sequences. Store the n, a, b. Step 5: encode the significant coefficients sign map, uniform quantization of LL4, all the n, a, b. Step 6: decode…… ..inverse the pression steps. Experiment CR: pression ration ? CR=(bits of the original image)/(bit of pression image) ?????????????????iii ffP S N R2^10)(255l o g*20Conclusion Grey model is good to high pression rate Sign map problem, store the sign map increase the data. Only let the grey model to predict the original wavelet tree, don’t care the sign problem, then we can raise the pression quality really