基于概率IFS的图像编码方法在图像检索中的应用

Haipeng Li, F. Li
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引用次数: 2

摘要

人们提出了许多有效的方法来解决图像压缩问题。分形图像编码可以在更高的压缩比水平上压缩图像,分形图像压缩的基本思想是基于迭代函数系统(IFS)。本文提出了一种基于概率IFS的图像压缩和图像检索的新方法,从分形无搜索方法中得到启示,该方法在压缩图像时也不需要进行搜索阶段,因此图像压缩所消耗的时间比传统方法少。以图像代码为索引文件,将该方法应用于图像检索,实验结果表明该方法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image Encode Method Based on IFS with Probabilities Applying in Image Retrieval
Many effective methods have been proposed to solve the problem of image compression. Fractal image code can compress an image in a higher compress ratio level, the fundamental idea of fractal image compression is based on the iteration function system (IFS). In this paper, we proposed a novel method based on IFS with probabilities can be used in image compression and image retrieval, we obtain enlightenment from fractal no search methods, our method also no need to carried out searching stage when compress the image, so the consuming time with image compression is less than traditional methods. We utilized the image code as index file, and apply our method in image retrieval, experiment results indicate that our method is effective in image retrieval.
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