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Image compression and magnification using fractal technique

机译:使用分形技术进行图像压缩和放大

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New techniques for image compression and image magnification using the theory of fractals is proposed. The fractal codes are designed assuming the self similarity property of images. In particular, to generate the fractal codes, the genetic algorithm is used which greatly decreases the search for finding self similarities in the given image. The obtained fractal codes are stored instead of the given image in the compression algorithm. Moreover the magnification task is performed using the obtained fractal codes of the image instead of the original one resulting in a reduction in memory requirement. The article presents both theory and implementation of the proposed methods. A simple distortion measure scheme is also proposed to judge the image quality of the magnified image.
机译:提出了利用分形理论进行图像压缩和图像放大的新技术。分形码是在假设图像具有自相似性的情况下设计的。特别是,为了生成分形代码,使用了遗传算法,该算法大大减少了在给定图像中寻找自相似性的搜索。所获得的分形码将存储在压缩算法中,而不是存储给定的图像。此外,使用获得的图像分形码代替原始分形码执行放大任务,从而减少了内存需求。本文介绍了所提出方法的理论和实现。还提出了一种简单的失真测量方案来判断放大图像的图像质量。

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