1988年,M·F·Barnsley在用仿射变换构造分形集的基础上,提出了分形图像压缩(Fractal Image Compression)的概念。随后,A·E·Jacquin提出了灰度图像的自动压缩技术[1],推动了分形图像压缩技术
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固定分块分形图像压缩 fixed piecemeal fractal image compression
四叉树分形图像压缩 quadtree fractal image compression
图像分形压缩 image fractal compression
And then focus on the Quadtree based on the fractal image compression algorithm.
然后重点研究了基于四叉树的分形图像压缩编码算法。
参考来源 - 基于四叉树的分形图像压缩编码算法的C++实现—《电脑知识与技术》—2008年第35期—龙源期刊网Fractal image compression coding is one of the main methods of image coding studied recently.
分形图像压缩编码是当今图像编码领域研究的热点。
参考来源 - 分形图像压缩编码研究·2,447,543篇论文数据，部分数据来源于NoteExpress
为了得到可变的位率，在分形图像压缩中经常采用四叉树分割方法。
Quadtree partitions are often used in fractal image compression to achieve variable bit rates.
本文介绍了分形几何和分形图像压缩的一些基本概念，以及以分形为基础的几种图像压缩编码方法。
This paper introduces some basic concepts of fractal geometry and fractal image compression, and also introduces some kinds of image compression coding method based on fractal.
本论文从理论和实践上介绍了不同于传统方法的压缩算法—基于遗传算法与视觉特性的分形图像压缩算法。
In this dissertation, from theoretical and practice viewpoint, we present a novel approach to compress gray-scale images based on Genetic Algorithms and Visual Character.
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