图像压缩

Fractal image compressing is a new image compression method based on fractal Iterated Function System.

分形图像压缩是一种基于分形迭代函数系统理论的图像压缩方法，压缩比大，但编码过程计算复杂，编码时间长。

The main work and innovation1 In general , a image compression method has different effect to different image . Some are fit for image which has much high frequency . Some are fit for image which has much low frequency .This paper analysis the applicability of fractal algorithm . In this dissertation , an improved algorithum is given . The basic algorithum without eight change and the joint use of quantitative coding , The compression ratio and PSNR can be adjusted , and it can get more quickly speed of coding .2 To a group of exact fractal code , the decoding image can be any resolution .With this characteristic ,choose the proper domain block and range block,this paper get an algorithum which can get higher decoding PSNR and speed than the basic fractal algorithum.3 Give a new method to calculate the scale factor . The calculation of basic algorithum is complex and enormous . The factor of scale is an important variable of the basic algorithm. Now there are two methods to calculate the factor of scale .A new method was given to calculate the factor of scale. The calculation load and complexity are reduced by the new method. Compared with the basic algorithm , the method can reduce coding time.4 The basic fractal algorithum is based on the Collage theorem and contraction mapping theorem . A mathematic model based on basic fractal algorithum is given .

本文的主要工作及创新点主要包括以下几点：1一般情况下，一种图像压缩的方法对不同特点的图像，压缩效果会有所不同，本文利用分形压缩编码对不同特点的图像进行编码，分析了分形编码对不同图像的编码适用性，利用去掉8种变换的分形编码算法与简单的均匀量化编码方案相结合，得到了一种可以调节压缩比与解码质量的分形编码方案，该提高编码速度6倍以上。2分形编码的特点之一是分形解码的分辨率无关性，即对于一组分形编码可以将其解码到任意分辨率下，本文利用分形编码的这一特点，结合不同的量化编码方案，选择合适的定义域块与值域块及适当的编解码分辨率，得到了一种提高解码质量，编码速度提高12倍以上的加速算法。3比例因子是基本分形算法中的一个重要变量，目前有两种计算比例因子的方法，文中给出了一种新的求比例因子的方法，该方法简化了求比例因子的计算，从整体上减小了基本分形算法的计算量，简化了算法4分形压缩的数学基础是不动点定理与拼贴定理，本文根据基本的自动分形编码方法，建立数学模型对其进行推导，得到了用普通数学的极限理论解释分形编码的数学表达式，从而对由基本分形编码得到的解码图像中的像素点的值给出了确定的表达式。

The block-based fractal image compression method has a low compression ratio, so simple region-based fractal image compression is introduced, then the competitive region-based fractal image compression method is presented. The experimental results show that the compression ratio is effectively improved at a similar PSNR value.

由于基于块的分形图像压缩方法的压缩比不高，对此进行改进，先介绍简单的基于区域的分形图像压缩，然后提出基于区域的竞争分形图像压缩算法，并进行实验，实验结果表明，该方法在保持一定的信噪比的情况下，有效的提高了压缩比。

In this method,image compression is completed by singular value decomposition of the wavelet coefficient.

提出了基于小波域奇异值分解的图像压缩算法，该算法通过对小波分解系数进行奇异值分解，进而对小波系数进行压缩，实现图像压缩。

An image fusion scheme based on the wavelet transform and an image compression algorithm based on zero-tree coding are proposed, aiming at the demand of the Intelligent Transportation System. The algorithm is used to fuse visible image and infrared image with wavelet transform and then to compress the fused image by fully employing the importance degree of the subband coefficients and visual characteristic of mankind. So it enhances the integrality and oneness of the traffic information availably and also improves the quality of the system greatly.

针对智能交通系统信息采集的需要，提出基于小波分析的图像融合和零树编码的小波图像压缩算法，利用小波变换将红外和可见光图像进行融合，利用各子带小波系数对图像恢复的重要程度和人眼的视觉特性对融合图像进行压缩，算法的实际应用提高了所采集的交通信息的完整性、统一性和容错性，并改善了智能交通系统的服务质量。

In summary, the work in this dissertation has solved several hard problems (including low compression rate, bad compression quality, and moderate coding efficiency, etc. under the condition of low band-width) of image compression coding in the data link of flighting control of cruise missiles, and provides a foundation for transferring high quality images instantly in man-in-the-loop control of the cruise missile.

总之，本文的研究工作在一定程度上解决了面向巡航导弹飞行控制数据链的图像压缩编码技术中存在的低带宽条件下，压缩率低，压缩质量差，编码效率不高等难题，为实现巡航导弹人在回路控制中实时的、高质量的图像压缩编码奠定了技术基础。

A new algorithm of low bit rate image compression was proposed. Firstly, the edge informations of the input image were detected with SUSAN operator, then the detected edge informations were en hanced with edge enhancement method. Finally, the enhanced edge informations were added to the decoded input image to form the final compressed image.

提出一种新的低比特率图像压缩算法，该算法首先利用SUSAN算子检测出输入图像的边缘信息，然后利用边缘增强方法对边缘信息进行增强，最后将增强后的边缘信息和解码后的输入图像相加形成最终的压缩图像。

Noising image is compressed and denoised by integrating Wavelet coding with wavelet threshold denoising together.

将小波图像压缩和小波阈值降噪结合在一起，对噪声图像进行压缩，使得在对图像压缩的同时，实现对图像的降噪。

We also study on the coding performance of these wavelet. At last, we investigate the wavelet threshold denosing for image, and present a improved Bayes denosing for image. We also combine the wavelet image coding with image denosing based on wavelet threshold, the noising image is compressed, the noise is de-noised at the same time.

最后，在对小波阈值的图像降噪原理进行分析的基础上，提出了一种改进的贝叶斯图像降噪方法，并将小波图像压缩和图像降噪结合在一起，来实现对噪声图像进行压缩的同时对它进行降噪。

ABSTRACT The technology of image compression gains more attention in information society; wavelet transform is one of research hotpots on i...

图像压缩技术在当前的信息化社会中得到越来越多的重视，而小波变换技术是目前图像压缩领域的一个研究热点，它是实现高效压缩的一个技术手段。

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Yang yinshu、Wang xiangsheng、Li decang,The first discovery of haemaphysalis conicinna.

1〕 杨银书，王祥生，李德昌。安徽省首次发现嗜群血蜱。