该文提出了快速分形图像编码的一种基于相关系数的编码方案，不需要改变现有的分形解码过程。
This paper proposes a correlation-coefficients-based scheme for fast fractal image encoding, which does not need to change the existing fractal decoding procedure.
通过分析小波分解作为分形图像编码预分解的有效性和小波域内仿射变换的特性，提出一种基于分类的小波域内的分形图像编码方法。
With analyzing the availability of fractal image coding and the characters of affine transform in wavelet domain, a fractal image coding approach based on classifications is presented in this paper.
目前分形图像压缩的最主要问题是其编码时间太长，这主要是因为在分形编码时，对每一个待编码值域块都需要比较数量巨大的定义域块才能找到它的最优匹配块。
The nowadays fractal image compression schemes suffers from long encoding time, because of considerable comparisons with domain blocks for each range block to find its best-match domain blocks.
采用值域块均值作为分形编码的参数可加快分形编码的速度，提高压缩比和加快分形图像压缩解码的收敛速度。
With the mean of range block, the compression ratio is improved, the coding time and reconstruction time are decreased.
最后，本文提出的基于并行计算分形维数的分形图像编码算法，在提高图像编码质量的同时，还提高了编码速率。
Finally, the proposed parallel computing based on fractal dimension algorithm improving the picture quality while also improving the coding rate.
最后，本文提出的基于并行计算分形维数的分形图像编码算法，在提高图像编码质量的同时，还提高了编码速率。
Finally, the proposed parallel computing based on fractal dimension algorithm improving the picture quality while also improving the coding rate.
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