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An Improved No-search Fractal Image Coding Method Based On A Modified Gray-level Transform

机译:一种改进的基于灰度变换的无搜索分形图像编码方法

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摘要

In this paper, we propose a fast no-search fractal image coding algorithm based on a modified gray-level transform. To improve the possibility of successful matching for a range block and a domain block, we introduce a modified gray-level transform with more transform parameters than proposed by Tong and Pi to encode the blocks. Then, we suggest a no-search fractal image coding method using two gray-level transforms, one for the large blocks and the other for the small blocks based on the quadtree partition scheme, to speed up the encoding time and improve the quality of the reconstructed images.
机译:在本文中,我们提出了一种基于改进的灰度变换的快速无搜索分形图像编码算法。为了提高成功匹配范围块和域块的可能性,我们引入了一种改进的灰度变换,该变换具有比Tong和Pi提出的编码参数更多的变换参数来对这些块进行编码。然后,我们建议使用一种基于四叉树划分方案的两次灰度变换(一种用于大块,另一种用于小块)的无搜索分形图像编码方法,以加快编码时间并提高图像质量重建图像。

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