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Hierarchical fixed-point searching method for resizing binary fractal image with ifs code modification

机译:具有IFS代码修改的分层定点搜索方法,用于调整二进制分数图像的大小

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Iterated function system's (IFSs) can achieve a very high compression ratio for a fractal image. It iteratively generates a fractal image by the use of, for example, the random iteration algorithm. However, the original sizes and coordinates offractal images are usually different and they can be measured only from the decoded results. This is a drawback since the decoded fractal image shown on a display of fixed size may not be with an adequate scale and located in a desired position. It should make each decoded fractal image which can be generated with a desired size. In this paper, we propose a fixed-point-searching algorithm which can automatically determine the original size and the coordinates of a fractal image directly from its IFS code.With the proposed modification on the translation parameters in IFS code, we can resize and relocate the decoded image to become a desired one. The computation load is low because only the calculation of certain fixed points are required. Finally, thecomputer simulation for the fractal fern is performed to demonstrate the decoded fractal image can be displayed with a desired size.
机译:迭代功能系统的(IFSS)可以实现分形图像的非常高的压缩比。它迭代地通过使用例如随机迭代算法来产生分数形图像。然而,原始尺寸和坐标偏好图像通常是不同的,并且可以仅从解码结果测量。这是一个缺点,因为固定尺寸的显示器上所示的解码分形图像可能不具有足够的尺度并位于所需位置。它应该制作每个解码的分形图像,其可以用所需的尺寸产生。在本文中,我们提出了一种固定点搜索算法,它可以直接从IFS代码自动确定分数件图像的原始大小和分形图像的坐标。如果在IFS代码中的翻译参数上建议修改,我们可以调整大小和重新定化解码图像成为所需的图像。计算负载很低,因为只需要计算某些固定点的计算。最后,执行用于分形蕨类植物的计算机模拟以演示解码的分形图像可以以所需的尺寸显示。

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