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Image Encode Method Based on IFS with Probabilities Applying in Image Retrieval

机译:具有概率的基于IFS的图像编码方法在图像检索中的应用

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摘要

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.
机译:已经提出了许多有效的方法来解决图像压缩问题。分形图像代码可以以更高的压缩率级别压缩图像,分形图像压缩的基本思想是基于迭代函数系统(IFS)。在本文中,我们提出了一种基于IFS的概率方法,该方法可用于图像压缩和图像检索,从分形无搜索方法获得启发,该方法在压缩图像时也无需进行搜索阶段,因此图像压缩所需的时间少于传统方法。我们将图像代码作为索引文件,并将其应用到图像检索中,实验结果表明该方法在图像检索中是有效的。

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