IFS-Based Image Coding

S. J. Hussain, M. S. Siddiqui, A.A. Boghani, Ali Daniyal
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引用次数: 2

Abstract

Self-similarity is a property that is found in natural geometry. By using this recursive nature of geometrical objects we can generate them. Similarly, we can store these geometrical objects in encoded form. Iterated functions system (IFS) is a way of expressing geometrical objects, containing this property, mathematically. We call such objects Fractals. Considering that most of the images are merely collection of such natural geometrical objects we can find an IFS for them using reverse engineering. This paper is a study of some approaches for image coding and compression using IFS.
基于ifs的图像编码
自相似是自然几何中的一种特性。通过使用几何对象的递归特性,我们可以生成它们。同样地,我们可以用编码的形式存储这些几何对象。迭代函数系统(IFS)是一种用数学方法表达几何对象的方法,它包含了这种性质。我们称这样的物体为分形。考虑到大多数图像只是这些自然几何物体的集合,我们可以使用逆向工程为它们找到一个IFS。本文研究了利用IFS进行图像编码和压缩的几种方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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