A new fractal zerotree coding for wavelet image

Based on the mechanisms underlying the performance of fractal and DWT, one method using fractal-based self-quantization coding way to code different subband coefficients of D WT is presented. Within this method finer coefficients are fractal encoded according to the successive coarser ones. Self-similarities inherent between parent and their children at the same spatial location of the adjacent scales of similar orientation are exploited to predict variation of information across waveletscales. In the other hand, with respect to HVS model, we assign different error thresholds to different scales and different shape of range blocks to different orientations of the same scale, by which the perceptually lossless high compression ratio can be achieved and the matching processing can be quickened dramatically.