基于相似比的快速分形编码算法 关键词：分形；分形图像编码；相似比；图像块分类 [gap=1093]Key words：fractal；fractal image encoding；similar ratio；image blocks classification
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How to import the advanced theory of K-mean clustering into the domain of fractal image encoding is a hotspot research in national academia.
将先进的K-均值聚类理论引入到分形图像编码领域,是目前国际学术界的研究热点之一。
参考来源 - 基于改进KTwo fast fractal encoding algorithms proposed by this author in this dissertation are summarized as follows:1) The fast fractal image encoding algorithm based on local determinants (See Chapter 4).
本学位论文收录了作者提出的两个快速编码算法:1)基于行列式的快速分形图像编码算法(见第四章)。
参考来源 - 基于分形理论的图像编码算法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
In this paper, we study the hot issues of fractal image encoding.
本文对分形图像编码的热点问题进行了研究。
This paper proposes a correlation-coefficients-based scheme for fast fractal image encoding, which does not need to change the existing fractal decoding procedure.
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。
Thus, encoding an image by fractal techniques consists of finding an appropriate contractive transformation whose fixed point is the best possible approximation of the original image.
因此，一幅图像的分形编码就是寻找一个合适的压缩仿射变换，它的不动点是原始图像尽可能好的近似。
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