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。
A fractal image coding based on morphological operators is presented in this paper.
对于分形图像编码算法，提出一种解码图像质量的预测方法。
A new decoded image quality prediction algorithm for fractal image coding was proposed.
分形图像编码速度慢的最主要原因是搜索最佳匹配的定义域块耗时太多。
However, the long coding time of this method becomes the main problem for the fractal image compression to be efficient and utilizable.
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 image coding is a very promising compression technique, but it suffers from long encoding time.
目前，分形图像编码以其解码快速及分辨率无关等特性正逐步显现出它的优越性。
Nowadays, fractal image compression has received much appreciation because of its characteristic of fast decoding and resolution-independent.
该文提出了快速分形图像编码的一种基于相关系数的编码方案，不需要改变现有的分形解码过程。
This paper proposes a correlation-coefficients-based scheme for fast fractal image encoding, which does not need to change the existing fractal decoding procedure.
通过引入一个可以影响解码图像质量和编码时间的控制参数，该文提出了分形图像编码的一种改进方案。
This paper proposed an improved scheme for fractal image coding by introducing a control parameter that can affect the decoded image quality as well as encoding speed.
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。
Finally, the proposed parallel computing based on fractal dimension algorithm improving the picture quality while also improving the coding rate.
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。
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.
传统的利用分形编码嵌入数字水印的方法所需编码时间较长，对图像质量的影响大。
The traditional method of using fractal coding to embed watermarking often took a long time, which also strongly influenced the quality of images.
分形几何方法是一种新的图像压缩编码方法。
Fractal geometry method is a new method of image compression coding.
量化后的仿射变换t构成了图像块的分形块编码。
Quantized affine transformation t constitutes the fractal block coding of the image block.
对原始图像进行四叉树分形编码后，通过给定子块在不同的寻找区域中搜索其最佳匹配父块来嵌入水印。
After the original image is maked to quadtree fractal coding, we embed watermarking into it by range blocks searching its most-matched domain blocks in different search regions.
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 addition, a small fixed dictionary that is applied to speeding up fractal image compression coding is built.
分形技术已被许多研究者应用于图像编码。
Fractal techniques have been used to encode images by many researchers recently.
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。
This paper first introduces the common image compression technology-Huffman coding and fractal coding, and then proposes some improvements.
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。
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.
因此，一幅图像的分形编码就是寻找一个合适的压缩仿射变换，它的不动点是原始图像尽可能好的近似。
Thus, encoding an image by fractal techniques consists of finding an appropriate contractive transformation whose fixed point is the best possible approximation of the original image.
图像分形后，对相邻帧间对应的数据求差并进行压缩编码，减少时间与空间冗余度。
After image was decomposed, the corresponding data were compressed and coded. It could reduce the time and space redundancy.
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 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.
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。
The experimental results show that the fixed compression dictionary can realize fractal image coding quickly and has some fractal image merit decoding.
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.
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。
Fractal coding has been proved useful for image compression, and it is also proved effective for content-based image retrieval.
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。
The experiment results show that the fixed compression dictionary can carry out fractional image coding rapidly and has some fractional image advantages in decoding.
在图像分形编码结果的所有元素中，拼贴误差最直观地表现了值域块与其最优匹配块之间的相似程度，因而我们选用它来作为图像的局部自相似性的度量。
We choose collage error as local self-similarity evaluation of the image, because collage error visually represents the similarity between value range blocks and optimal matching blocks.
针对分形图像压缩中矩形划分计算量太大的问题，提出了一种混合分类方法并将其应用于图像的矩不变量，得到了一种基于矩形划分的快速分形编码方法。
Aiming at the question that the computational complexity of HV partition is great in fractal image compressing, a hybrid classification method was proposed and it was used on mass center of image.
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。
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.
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。
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。
Fractal image compression has received much attention for its desirable properties like resolution independence, fast decoding and high compression ratio.
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