一种提高分形图像压缩次数的新方法

ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005. Pub Date : 2005-10-24 DOI:10.1109/ISPA.2005.195457

T. Zumbakis, J. Valantinas

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引用次数: 6

摘要

提出了一种提高分形图像压缩次数的新方法。根据范围块和相应的域块的平滑程度进行分类。在相同(或相邻)平滑类之间进行搜索，以进行距离-域比较，从而显着降低了计算复杂度。理论和实验结果表明，对于大小为512/spl /512的图像，该算法可以实现极高的压缩时间节省。

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A new approach to improving fractal image compression times

The paper presents a new approach to improving fractal image compression times. The range blocks and corresponding domain blocks are categorized in accordance with their smoothness level. The searching is carried out between the same (or, neighbouring) smoothness classes for range-domain comparisons which significantly reduces the computational complexity. Theoretical and experimental results show that extremely high compression time savings are achieved for images of size 512/spl times/512.

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来源期刊

ISPA 2005. Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005.

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