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Image compression and magnification using fractal technique

机译:使用分形技术的图像压缩和放大倍数

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摘要

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:提出了使用分形理论的图像压缩和图像放大的新技术。假设图像的自相似性属性设计分形码。特别地,为了产生分形码,使用遗传算法,其大大减少了寻找给定图像中的自相似性的搜索。将获得的分形码存储在压缩算法中而不是给定的图像。此外,使用所获得的图像的分形代码而不是原始的代码来执行放大任务,从而导致存储器要求的降低。文章介绍了所提出的方法的理论和实施。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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