提出了一种基于小波系数零树结构的分形预测图象编码方法,首先按照零树结构在同方向不同分辨率的各个子带图象上确定要预测的图象块(Range Block),也就是将这些图象块串起来构成一棵与零树相类似的图象树(Range Tree);然后,对每一图象块,在同方向低一级分辨率的子带图象上寻找与其最佳分形匹配的相似块(Domian Block),而这些相似块也按照零树结构上下延伸,以产生多棵相似树(Domain Tree),其中与图象树最接近的相似树就是图象树的预测树.理论分析和实验结果表明,该方法在峰值信

A new fractal predictive image coding scheme based on zerotrees of wavelet coefficients is presented. We first pick out the range blocks to be predicted based on the zerotrees from subimages of the same orientation but different resolutions. These range blocks will form a range tree, something like zerotrees. For each range block, we then look for its optimum fractally-matched domain block in the subimage of the same orientation but lower resolution than that of the range block. Each domain block obtained this way can extend through different resolutions along the same orientation to form a domain tree. Among all these domain trees, one closest to the range tree will be its predictive tree. Theoretical analysis and experimental results presented in the paper show that our scheme can obtain higher compression rate at the little cost of signal-to-noise ratio.