This article introduces a digital watermarking technology based on adaptive quadtree fractal coding.
提出了一种基于自适应四叉树分形编码的数字水印技术。
This paper proposes a watermarking algorithm based on quadtree fractal coding, which is to search for the optimized matched domain blocks in different regions and to embed the watermarking.
提出了基于四叉树分形编码的水印算法，通过在不同寻找区域中搜索最佳匹配定义域块来嵌入水印。
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。
Fractal singular value neighbor distance is brought forward based on fractal neighbor distance. Fractal coding and local singular value decomposition are used to improve the recognition rate.
在分形近邻距离的基础上，提出了分形奇异值近邻距离，并把分形编码和局部奇异值分解结合起来，提高了识别率。
An efficient scheme for video coding is presented which utilizes progressive fractal coding, called wavelet-based fractal approximation (WBFA), and motion compensation (MC).
利用改进的分形编码提出了一种有效的视频编码方法，称作基于小波分形逼近(WBFA)，和运动补偿(MC)。
The effects of 8 isometry transforms used in PIFS based fractal image coding on performance are discussed.
分析了基于部分迭代函数系统（PIFS）的传统分形图像压缩编码中8 种对称旋转变换对编码性能的影响；
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。
A fractal image coding based on morphological operators is presented in this paper.
本文提出了一种基于数学形态学算子的分形图像编码方法。
With analyzing the availability of fractal image coding and the characters of affine transform in wavelet domain, a fractal image coding approach based on classifications is presented in this paper.
通过分析小波分解作为分形图像编码预分解的有效性和小波域内仿射变换的特性，提出一种基于分类的小波域内的分形图像编码方法。
Based on the fractal geometry, we discussed the coding method of digital images. And we compressed images by the fractal theory in computer.
从分形几何这一数学理论入手，分析了图象数据和分形几何的关系，建立图象的分形几何模型，并通过计算机模拟，实现图象的压缩算法。
Based on the idea, a new concrete algorithm for realizing fractal image coding is designed in the paper.
根据此思想给出了一个新的具体实现分形编码的算法。
To shorten the matching time, the four level fractal approximation coding based on matching in neighborhood is presented.
为了缩短分形编码中值域块与定义域块池中的定义域块逐一匹配时间，提出了四级邻域匹配分形近似编码。
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。
The traditional watermarking techniques based on fractal coding is generally using 0, 1 sequence as the watermark.
传统的基于分形编码的水印技术一般采用0,1码，没有实现灰度图像的嵌入。
Currently, there are many DWT (Discrete wavelet Transform) based watermarking algorithms, but few of them discuss the issue in association with fractal image coding in wavelet domain.
目前有很多基于离散小波变换(DWT)的水印算法，但结合分形编码技术的很少。
A quick fractal block coding based on multiscale matching is presented in this paper. It provides a new approach for reducing search time.
提出了基于多尺度匹配的快速分形块编码，该方法为缩短分形编码的搜索时间提供了一条新途径。
For traditional watermarking techniques based on fractal coding, watermarking format is limited to binary sequence 0, 1, thus incapable of gray-scale image embedding.
传统的基于分形编码的水印技术一般嵌入0,1序列，没有实现灰度图像嵌入。
Finally, the proposed parallel computing based on fractal dimension algorithm improving the picture quality while also improving the coding rate.
最后，本文提出的基于并行计算分形维数的分形图像编码算法，在提高图像编码质量的同时，还提高了编码速率。
The image coding method based on fractal theory is firstly proposed by Barnsley in 1988, which is developed from mathematical theory called Iterated Function Systems (IFS).
其中，基于分形理论的图像编码方法以其编码思想新颖、高压缩比、多分辨率、快速解码等优点受到了广泛关注。
The image coding method based on fractal theory is firstly proposed by Barnsley in 1988, which is developed from mathematical theory called Iterated Function Systems (IFS).
其中，基于分形理论的图像编码方法以其编码思想新颖、高压缩比、多分辨率、快速解码等优点受到了广泛关注。
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