The fractal compression scheme is one of the focus methods.
分形图像压缩算法是热点之一。
This paper presents an existent and constructive proof of image fractal compression mappings and application in fractal image coding.
给出了图象分形压缩映射存在性的一个构造性证明，并应用在图象编码中。
It USES wavelet and fractal to compress image and compare its compression result. Then sum-up what is fit for wavelet and fractal compression.
本课题就是针对上述问题，通过小波变换和分形这两种方法来进行图像压缩，对比起压缩效果，总结出分别适合于小波和分形压缩的图像。
The paper analyses the weakness of traditional speed-up techniques for image fractal compression firstly, and proposes a novel idea by using entropy to improve image fractal compress performance.
本文首先分析图像分形压缩技术中传统加速方法的性能缺陷，随后提出使用图像块的熵值来改进分形压缩性能的思想。
Due to high potential relativity of DCT coefficients and big compression performance of fractal, high compression rate of video data can be realized.
由于频域中dct系数的强相关性和分形的高压缩性能，能够实现视频数据的高压缩。
Fractal geometry method is a new method of image compression coding.
分形几何方法是一种新的图像压缩编码方法。
Fractal image coding is one of researching focuses in image coding field at present. It is a kind of data compression technique with special advantages and a good developing future.
分形图像压缩编码是当今图像编码领域研究的热点之一，是一种具有独特优势且极有发展前途的数据压缩技术。
Fractal coding has been proved useful for image compression, and it is also proved effective for content-based image retrieval.
分形编码在图像压缩方面取得了很好的效果，同时也能够用于基于内容的图像检索。
This paper first introduces the common image compression technology-Huffman coding and fractal coding, and then proposes some improvements.
本文通过介绍常见的图像压缩技术——哈夫曼编码和分形编码，提出了一些改进的方法。
In this paper, a fractal image compression method based on region partition is devised.
本文设计了一种基于区域划分的分形图象压缩方法。
Reducing fractal block coding time is one of the main problems of fractal image compression.
缩短分形块编码时间是进行分形图象压缩的关键问题之一。
Quadtree partitions are often used in fractal image compression to achieve variable bit rates.
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。
Fast simulated annealing is used in calculating the key parameter of fractal interpolation function - vertical scaling factor, thus makes further improvement of data compression speed.
采用快速模拟退火算法来计算分形插值函数的关键参数——纵向比例因子，进一步加快了数据压缩的速度。
The experimental results show that the fixed compression dictionary can realize fractal image coding quickly and has some fractal image merit decoding.
实验结果表明，固定压缩字典能快速地实现分形图像的编码，并具有部分分形图像的解码优点。
In this paper, fractal image coding and fractal interpolation for image compression are studied at first.
本文首先研究了分形图象压缩编码和分形插值图象压缩方法。
This paper discusses the fractal geometry method of image compression. And it provides an assumption to form "Intelligent Image Compression System".
本文讨论了图像压缩的分形几何方法，并提出了形成“智能型图像压缩系统”的设想。
In addition, a small fixed dictionary that is applied to speeding up fractal image compression coding is built.
此外，还建立一个小型固定字典，用以加速分形图像的压缩编码。
In order to improve the ratio of binary image compression, using top-dowm method of coding, bring forward a fractal image compression method based on isosceles right triangle, and simulated.
为了提高二值图像的压缩比，采用自顶向下的编码方法，提出一种基于等腰直角三角形的分形图像压缩算法，并进行仿真实验。
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。
A new affine parameter is described through the study of fractal coding algorithm. According to the characteristic of the affine parameter, a corresponding compression method is presented.
通过对分形算法的研究，提出一种新的仿射参数，针对新参数的特点采用了相应的压缩算法。
The nowadays fractal image compression schemes suffers from long encoding time, because of considerable comparisons with domain blocks for each range block to find its best-match domain blocks.
目前分形图像压缩的最主要问题是其编码时间太长，这主要是因为在分形编码时，对每一个待编码值域块都需要比较数量巨大的定义域块才能找到它的最优匹配块。
Fractal image coding is a very promising compression technique, but it suffers from long encoding time.
分形图像编码是一种很有前途的压缩技术，但编码时间长阻碍了它的广泛应用。
Fractal is widely used in many fields such as the image data compression, simulation of natural scenery, the growing of fractal geometry and the research of chaos motility system.
分形几何学在图像数据压缩、模拟自然景物，艺术图案设计、分形生长及混沌动力系统的研究等方面有着广泛的应用。
The first chapter introduces the significance of fractal image compression research and the valuation standard of image quality.
首先在第一章中介绍了分形图象压缩研究的意义和数字图象质量的评价标准。
Fractal image compression has received much attention for its desirable properties like resolution independence, fast decoding and high compression ratio.
基于分形的图像编码方法具有高压缩比、分辨率无关性、快速解码等优越性质。
Experimental results show that the new method can obtain a much higher compression ratio compared to the original fractal video compression and achieve higher qualities of decompressed images.
实验结果表明采用运动误差与分形视频压缩方法效果明显，压缩比有较大地提高，并且采用该新的压缩方法处理后的图像质量比原来的分形视频压缩效果更好。
Experimental results show that the new method can obtain a much higher compression ratio compared to the original fractal video compression and achieve higher qualities of decompressed images.
实验结果表明采用运动误差与分形视频压缩方法效果明显，压缩比有较大地提高，并且采用该新的压缩方法处理后的图像质量比原来的分形视频压缩效果更好。
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