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Through analyzing the characteristic of image acquired from this scanner and the user requirement, we design and develop the professional image processing software with image acquisition and image processing function.

通过分析该工程扫描仪输出图像的特点和用户对获取到的图像精度的需求,我们设计和开发了包含图像处理和图像获取功能的专业图像处理软件。

General method of inpainting is to interpolate. In this chapter, image inpainting based on total variation is focused on.

常用的图像修描方法是插值,本章研究了基于全变分模型插值的图像修描方法,结合图像增强模型提出了同时对图像进行局部修描和增强的方法,并提出了修补纹理图像的算法。

Based on the method of restoring the image by estimating the camera shake trace which is proposed by Fergus in 2006 as reference, we find the difference of statistical characteristics between blurred images and latent images by exploiting the natural image statistical characteristics more deeply, i.e. the precise components of natural clear images obey the Laplace distribution in their wavelet domain, but blurred images dont have this kind of characteristic.

本文参考了2006年Fergus提出的估计相机抖动轨迹进行复原的方法,通过进一步对自然图像统计特性的研究,寻找出模糊图像和清晰图像在统计特性上的差异,即清晰图像的小波域细节分量服从拉普拉斯分布,而模糊图像则不具有这种特性。

By TM images the linear structures, water system, the outer edge of Tianchi Volcano trachite are extracted. By the sensitivity of SAR images to geomorphology, the distribution of parasitical volcano cone and lava fornix around Tianchi volcano are interpreted. With the aerial photos the parasitical lava of Qixiangzhan, Baiyun and Bingchang stage are filtered. At the same time by orthogonal cross-course wavelet transform, texture analysis is carried on to ERS-2 SAR images, and the texture characters are filtered. On the basis of the spectrum character of multi-band of TM images, multi-band algebraic grouping is made, and the factor of texture character factor and band grouping of TM images are input to BP neural network classification model. The good classified results are received.

利用TM图像对线性构造、水系、天池火山粗面岩锥体外边缘的提取;利用SAR图像对地形敏感特性,提取了天池火山周围寄生火山锥体及熔岩穹丘的分布;利用航片对天池火山口周围的气象站期、白云期、冰场期等寄生喷发物进行了提取:同时利用正交小波变换对ERS-2 SAR图像进行了纹理分析,提取了纹理特征:根据TM图像不同波段的光谱特征,进行了波段代数组合,并把纹理特征参数与TM图像的波段组合及DEM一起输入BP神经元网络分类器,取得了较好的分类效果。

First,logical operation and /or of image was calculated and the probability of and/or image was obtained.

主要思想是在图像对齐后,对图像进行逻辑交和逻辑或运算,再根据交图像和并图像的概率,定义一个能量函数,由能量函数极小值检索目标图像

It is of significant practical and commercial interest to do research on fast lossless image compression algorithms.

它主要应用于一些需要对图像做进一步处理、重复压缩与解压缩、图像的获取代价昂贵的领域,如指纹图像、遥感图像、医用图像处理等。

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。

This approach was based on the NonSubsampled Contourlet Transform. The means and variables of NSCT coefficients matrix in different subbands and various directions were extracted to form the feature vectors which were regarded as indexes of texture images in image database. Two similarity functions were used to compute the similarity between images. A texture retrieval system based on query image was developed.

该方法利用非下采样Contourlet变换对图像进行分解,提取不同子带和不同方向变换系数矩阵的均值和方差为特征向量,作为数据库中纹理图像的索引,并利用两种不同的相似度函数计算图像之间的相似度,建立了一套基于示例查询图像的纹理图像检索系统。

In normal condition, the Sobel operator can be used to get the image edge.

通过对不同光照情况下的图像特征分析,提出了不同光照情况下的图像边缘检测算法:正常光照条件下采用Sobel算子进行边缘检测;弱光照条件时先用MSR(multi-scale retine)进行图像细节增强处理,再利用类别方差自动门限法得到图像边缘;强光照条件下通过灰度扩展,将所感兴趣的灰度范围放大得到图像的边缘。

The characters of different illumination conditions are studied and the corresponding algorithms of gray image edge detection are proposed. In normal condition, the Sobel operator can be used to get the image edge. When the illumination is faint, the image is first enhanced by the MSR, and then the variance threshold algorithm is employed. While the light is strong, the image edge can be got by gray expand. At last, the instance image is detected.

通过对不同光照情况下的图像特征分析,提出了不同光照情况下的图像边缘检测算法:正常光照条件下采用Sobel算子进行边缘检测;弱光照条件时先用MSR (multi-scale retine)进行图像细节增强处理,再利用类别方差自动门限法得到图像边缘;强光照条件下通过灰度扩展,将所感兴趣的灰度范围放大得到图像的边缘。

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