为解决无人机高光谱影像图幅较小的问题，通过计算高光谱影像各个波段的峰值信噪比筛选特征波段，基于SIFT算法对筛选出的特征波段提取特征点并对特征点进行匹配，图像拼接过程中利用墨卡托投影纠正图像的变形，同时利用经纬度信息及重投影算法细化高光谱相机参数，从而实现大范围高光谱影像的拼接。为检验拼接高图像的光谱是否
发生畸变，利用光谱角填图、波谱特征拟合分类法及二进制编码３种方法对拼接前后的图像典型地物光谱进行分析。结果表明，拼接前后光谱畸变较小。
In order to solve the problem of small amplitude image of UAV hyperspectral image. In this paper, the feature band is selected by calculating the peak signal-to-noise ratio (SNR) of each band of the hyperspectral image, and then the feature points are extracted and matched to the selected feature band based on the Scale-invariant Feature Transform (SIFT) algorithm. Mercator image is used to correct the image during the image splicing process at the same time, the parameters of hyperspectral camera are refined by using latitude and longitude information together with the reproj algorithm, and finally the hyperspectral image is spliced. In order to test whether the spectrum of the mosaic image is distorted, Spectral Angle Mapping (SAM), Spectral Feature Fitting (SFF) and Binary Encoding (BE) were used to analyze the typical features of the images before and after splicing, the analysis results show that the spectral distortion is small before and after splicing. (2019-09-30, Others, 1522KB, 下载6次)
该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）
It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D (2017-05-02, matlab, 1810KB, 下载37次)
本论文包含5个源程序，分别为LSBCut、LSBCollage、DCTCut、DCTCollage和PSNR，其中LSBCut实现了LSB水印算法的剪切篡改的检测、LSBCollage实现了LSB水印算法的拼贴篡改的检测、DCTCut实现了DCT水印算法的剪切篡改的检测、DCTCollage实现了DCT水印算法的拼贴篡改的检测、PSNR功能是计算嵌入水印嵌入的峰值信噪比，以此来说明嵌入水印后图像载体的失真大小。LSBCut、LSBCollage、DCTCut、DCTCollage是独立的程序，每个程序独立完成一种篡改检测的功能且都有一个输出参数，没有输入参数，输出的参数是漏警概率。PSNR需要LSBCut、LSBCollage、DCTCut、DCTCollage产生的嵌入水印后的图像和原始图像作为输入参数，作为LSBCut、LSBCollage、DCTCut和DCTCollage的内函数使用。
This thesis contains five source program, LSBCut, LSBCollage respectively, DCTCut, DCTCollage and PSNR, including LSBCut implements the LSB watermarking algorithm of shear tampering detection, LSB watermarking algorithm was realized LSBCollage collage tampering detection, DCTCut implements the DCT watermarking algorithm of shear tampering detection, DCTCollage implements the DCT watermarking algorithm of collage of tampering detection, PSNR function is to embed watermark embedding peak signal-to-noise ratio, in order to show that embedded watermark image carrier after distortion.LSBCut, LSBCollage, DCTCut, DCTCollage is independent of the programs, each program independently a tamper detection function and has an output parameter, no input parameters, output parameters are leakage alarm probability.PSNR need LSBCut, LSBCollage, DCTCut, DCTCollage of embedded watermark image and the original image as the input parameters, as LSBCut, LSBCollage, DCTCut and DCTCollage function in use. (2016-10-24, matlab, 19940KB, 下载27次)
增强现实(AUGMENTEDREALITY,AR)技术是在真实的视频图像中叠加虚拟物体,并通过跟踪与注册技术,使用户可以与其进行良好互动的一种技术。随着人们对其研究的不断深入,增强现实技术已经开始应用在生活娱乐、医学、军事与工业生产等众多领域。虚实注册技术是增强现实的核心技术之一,它实时地计算观察者的位置和方向,然后确定虚拟物体在二维图像上的投影位置,最后将虚拟物体实时地叠加到该位置之上,使得虚拟场景能够与真实世界无缝融合。随着计算机视觉技术和计算机图形学的快速发展,基于视觉的虚实注册方法以其设备简单、成本较低及注册精度高等优点
Augmented Reality (AUGMENTEDREALITY, AR) technology is superimposed virtual objects in real video image, and through tracking and registration technology that allows users to interact with their good conduct of a technology. With the deepening of its research, augmented reality technology has been used in many areas began to live entertainment, medical, military and industrial production. Actual situation registered technology is to enhance the reality of one core technology, which calculate in real time the position and direction of the observer, and then determine the two-dimensional image projected location of the virtual object, and finally the virtual object superimposed onto the real-time position so virtual and the real world scene can seamless integration. With the rapid development of computer vision and computer graphics, vision-based registration method and the reality of its equipment is simple, low cost and high precision registration (2016-07-08, Others, 8996KB, 下载5次)
史蒂夫·乔布斯是一位极具创造力的企业家，史蒂夫·乔布斯有如过山车般精彩的人生和犀利激越的性格，充满追求完美和誓不罢休的激情，史蒂夫·乔布斯创造出个人电脑、动画电影、音乐、手机、平板电脑以及数字出版等6大产业的颠覆性变革。史蒂夫·乔布斯的个性经常让周围的人愤怒和绝望，但其所创造出的产品也与这种个性息息相关，全然不可分割的，正如苹果的硬件和软件一样。两年多的时间，与史蒂夫·乔布斯40多次的面对面倾谈
Steve jobs is a creative entrepreneur, Steve jobs, like a roller coaster, and sharp agitation of the personality, the splendid life with passion, the pursuit of perfection and shi don t give up Steve jobs to create personal computers, animated movies, music, phones, tablets, and digital publishing and so on six big industry of disruptive change.Steve jobs s personality often let the people around you anger and despair, but the products created by also is closely related to the individual character, completely indivisible, just as apple s hardware and software.More than two years time, with Steve jobs, more than 40 talk face to face (2014-11-16, PDF, 11674KB, 下载1次)
纺织品制造商必须监控其产品的质量，以保持既定用于服装行业的高品质标准。因此，纺织品的质量控制是为他们的企业的竞争力的增加的关键因素。纺织断层，传统上被人类目测检测。然而，人的检查是耗时的，并且不实现精度较高的水平。因此，工业视觉单元是用于纺织工业的战略利益，因为他们可以组成一个系统实现高精度纺织检测高度的基础。这项工作说明专为简单的图像处理操作的基础上，验布，以及其在检测到通常的纺织品缺陷效率系统的软件核心。整个系统的先决条件是，然后解析 所讨论的，以及由于该问题的本质上的限制和限制。软件算法和第一结果的评价也列于细节。
Textile manufacturers have to monitor the quality of their products in order to maintain the high-quality standards established for the clothing industry. Thus, textile quality control is a key factor for the increase of competitiveness of their companies. Textile faults have traditionally been detected by human visual inspection. However, human inspection is time consuming and does not achieve a high level of accuracy. Therefore, industrial vision units are of strategic interest for the textile industry as they could form the basis of a system achieving a high degree of accuracy on textile inspection. This work describes the software core of a system designed for fabric inspection on the basis of simple image-processing operations as well as its effi ciency on detection of usual textile defects. The prerequisites of the overall system are then discussed analytically, as well as the limitations and the restrictions imposed due to the nature of the problem. The software algorithm a (2014-05-26, matlab, 416KB, 下载13次)
针对宽带高分辨雷达体制下的未知速度运动目标检测问题, 基于高分辨一维距离像提出一种新的非相干积累算法. 首先利用改进的双向维特比算法估计目标速度及强散射点位置, 提高了低信噪比下
的估计精度, 然后在强散射点周围选取待检测单元进行非相干积累, 进一步提升了检测性能. 两类飞机实测数据的多个实验结果表明, 当目标发生距离走动的情况下, 该算法性能相对传统的非相干积累算法有明显的提高.
For unknown broadband speed moving target detection problem under high resolution radar system, based on high resolution range profile propose a new non-coherent integration algorithm. Firstly, improved bidirectional Viterbi algorithm to estimate the target speed and strong scattering point, raise the estimation accuracy of multiple experiments under low SNR, then select points around the strong scattering detection unit to be non-coherent integration, to further enhance the detection performance. measured data show two types of aircraft, when the target occurrence walking distance Next, the algorithm performance compared to traditional non-coherent integration algorithm has been significantly improve (2013-12-30, PDF, 425KB, 下载18次)
背景
从前，有一个古老的帝国有两个形状不同的塔分别在不同的两个城市里。这两个塔是用圆形的砖一块一块建成的。这些圆形砖的高度是一样的，其半径都是整数。很明显，尽管这两个塔形状不同，但造塔所使用的圆形砖却有很多是相同的。
过了很多年，一个国王命令他的建筑师们移除两个塔的部分砖以便使它们的形状完全一样，同时使两个塔的高度尽可能的高，并且新塔的砖瓦的排列顺序必须与原来的一样。国王认为这样的两个塔象征着这两个城市之间的和谐和平等，于是命名它们为双胞胎塔。
任务
现在，两千年以后，你可以来处理这样非常简单的问题：给你两个不同形状塔的描述，你只要算出能建成的新双塔的最多的砖瓦数。
输入
输入包括以下内容：第一行输入两个整数 N1 和 N2 (1 <= N1，N2 <= 100) 分别表示最初时两个塔的砖瓦数；第二行输入 N1 个正整数表示第一个塔砖瓦的半径（按从上到下的顺序排列）；下面的一行输入 N2 个整数表示第二个塔砖瓦的半径（按从上到下的顺序排列）。
当输入的 N1 和 N2 为 0 时结束。
输出
输出建成的新双塔的最多的砖瓦数。
Background
There was once an ancient empire with two different shapes of the two towers at different cities . The two circular brick tower is built piece by piece . These circular brick height is the same, the radius are integers. Clearly, although both towers of different shapes , but making use of the circular tower there are many tiles are identical .
Over many years, a king ordered his architects to remove two brick towers in order to make them part of exactly the same shape , but the height of the two towers as high as possible , and the new order of brick tower must be the same as the original . Kings think this two tower symbolizes the harmony between the two cities and equality , so named them as twin towers.
Task
Now, two years later, you can come to deal with this very simple question : give you a description of two towers of different shapes , as long as you can calculate the new towers built up brick number.
Enter
Inputs include the following: The first line of (2013-10-13, Visual C++, 1468KB, 下载10次)
图像去噪理论基础图像视频去噪的最终目的是改善给定的图像，解决实际图像由于噪声干扰而导致图像质量下降的问题。通过去噪技术可以有效地提高图像质量，增大信噪比，更好的体现原来图像所携带的信息，作为一种重要的预处理手段，人们对图像去噪算法进行了广泛的研究。在现有的去噪算法中，有的去噪算法在低维信号图像处理中取得较好的效果，却不适用于高维信号图像处理；或者去噪效果较好，却丢失部分图像边缘信息，或者致力于研究检测图像边缘信息，保留图像细节。
Image denoising theory based image video denoising s ultimate aim is to improve a given image, to solve practical image due to noise interference of the decline of the image quality. By denoising technology can effectively improve the image quality, increase the signal-to-noise ratio, better reflect the information carried by the original image, as a kind of important means of pretreatment, the image denoising algorithm is extensively studied. In the existing denoising algorithms, some of the denoising algorithm in low visa obtained better effect in image processing, but it does not apply to higher dimensional signal image processing Or better denoising effect, but loss of part of the image edge information, or devoted to detect image edge information, keep image details.
(2013-06-15, PDF, 186KB, 下载9次)
流程图可以简单地描述一个过程，是对过程、算法、流程的一种图像表示，在技术设计、交流及商业简报等领域有广泛的应用。流程图可分为：数据流程图和作业流程图。
流程图较思维导图要严谨一些，也是思维导图一种表现，使用图形表示算法的思路是一种极好的方法，因为千言万语不如一张图。流程图由包含具有确定含义的符号、简单的说明性文字和各种连线。
流程图是流经一个系统的信息流、观点流或部件流的图形代表。在企业中，流程图主要用来说明某一过程。这种过程既可以是生产线上的工艺流程，也可以是完成一项任务必需的管理过程。
Flow chart can simply describe a process, is to process, algorithm, and process of a kind of image representation, in technical design, communication and business presentation and other fields have a wide range of application. Flow diagram can be divided into: data flow chart and operation flow chart. Flow chart is mind map to some rigorous, is also the mind map a kind of performance, the use of graphic representation algorithm thinking is a kind of very good method, because thousands of words as a picture. The flow chart of the meaning of the symbol contains with clear, simple indicative characters and all kinds of attachment. Flow chart is through a system of the flow of information, ideas flow or component flow graphics representative. In the enterprise, the flow chart is mainly used to describe a process. This process can be on the production line process, also can be a task necessary management process. Develop a process flow diagram in the process of use as far as possible simple (2012-12-21, PPT, 682KB, 下载6次)
给出了一种新的基于小波多尺度分解的分层图像融合方法. 其基本思想是先对源图像
进行小波多尺度分解 其次, 按照融合规则, 采用基于区域特性量测的选择及加权算子去构造融
合图像对应的小波系数 最后, 通过逆小波变换重构融合图像. 该方法被成功地用于图像的融合
处理. 此外, 利用熵、交叉熵、互信息、均方根误差、峰值信噪比等参量, 对该融合方法的融合性能
进行了评价与分析. 实验结果表明, 该融合方法是十分有效的
A novel h ierarch ical image fusion scheme based on wavelet mult iscale de2
compo sit ion is p resented. The basic idea is to perfo rm a wavelet mult iscale decompo si2
t ion of each source image first, then the wavelet coefficient s of the fused image are
const ructed using region2based select ion and weigh ted operato rs acco rding to different
fusion rules, finally the fused image is obtained by tak ing inverse wavelet t ransfo rm.
Th is app roach has been successfully used in image fusion. In addit ion, w ith the use of
the parameters such as ent ropy, cro ss ent ropy, mutual info rmat ion, roo t mean square
erro r, peak2to2peak signal2to2no ise rat io, the perfo rmance of the fusion scheme is e2
valuated and analyzed. The experimental result s show that the fusion scheme is effec2
t ive. (2012-10-30, matlab, 376KB, 下载62次)
图像修复是图像处理的一个重要问题。这是一个困难的问题，同时填写在地区缺少图像信息的纹理和结构。以损坏的图像inpaint失踪的结构和纹理信息，基于小波分解的图像修补算法提出。首先损坏的图像分解成子图像和纹理结构，利用小波子图像转变。然后，地区结构中缺少的信息的子图像重建曲率驱动扩散（CDD），算法，而在同一区域的纹理子图像填写基于改进的纹理合成的典范 最后，恢复的图像，通过重组，结构和纹理恢复的结果。大量的实验表明，该算法可以快速，高效地恢复在同一时间的结构和纹理信息，视觉效果和峰值信噪比比（PSNR）比同类算法更好。
Image inpainting is an important problem image processing. It is a difficult problem to simultaneously fill-in the
texture and structure in regions of missing image information. In order to inpaint the damaged image with both
missing the structure and texture information, an image inpainting algorithm based on wavelet decomposition is
presented. First the damaged image is decomposed into structure sub-image and texture sub-image using the wavelet
transformation. Then, the sub-image with the region of missing information in the structure is reconstructed by
Curvature-Driven Diffusions (CDD) algorithm, while the same region in the texture sub-image is filled-in with the
improved texture synthesis based on exemplar Finally, the restored image is given by recombining the structure and
texture restored results. A large number of experiments show that the proposed algorithm can quickly and efficiently
restore the structure and texture information at the same time, and the visual eff (2012-06-05, matlab, 240KB, 下载171次)
随着多媒体技术的不断运用，图像压缩要求更高的性能和新的特征。为了满足静止图像在特殊领域编码的需求，JPEG2000作为一个新的标准处于不断的发展中。它不仅希望提供优于现行标准的失真率和个人图像压缩性能，而且还可以提供一些现行标准不能有效地实现甚至在很多情况下完全无法实现的功能和特性。这种新的标准更加注重图像的可伸缩表述。所以就可以在任意给定的分辨率级别上来提供一个低质量的图像恢复，或者在要求的分辨率和信噪比的情况下提取图像的部分区域。
With the constant use of multimedia technology, image compression demand higher performance and new features. In order to meet the still images in a particular area code needs, JPEG2000 as a new standard in the process of development. It not only wants to offer better than the current standard of distortion of the rate and the personal image compression performance, and can also provide some current standards can t effectively even in many cases completely unable to realize functions and characteristics. The new standard pay more attention to the image, scalable expression. So we can in any given level of resolution up to provide a low quality image restoration, or in the resolution of the requirements and signal-to-noise ratio of portions of the image extraction. (2012-05-25, C/C++, 1384KB, 下载6次)
图像质量评价方法研究进展
：图像质量评价是图像处理领域的研究热点。该文综合论述了图像质量的主观和客观评价方法，重点阐述了
单视点图像质量的客观评价方法。对目前比较常用的峰值信噪比和均方误差全参考评价算法进行了分析并指出其存
在的问题。然后，对基于误差敏感度和基于结构相似度的评价算法进行了论述和分析，并对质降和无参考评价方法
进行了综述。根据视点的个数，图像质量评价可分为对传统单视点图像和立体图像的评价。该文还对立体图像质量
评价算法进行了分析讨论。最后，就图像质量评价算法的进一步发展提出了若干技术与研究方向的展望。
Image Quality Assessment (IQA) is a hot research area in the field of image processing. In this paper,
objective and subjective IQA methods are reviewed, and more attention is paid to the former. PSNR and MSE,
which are commonly used to assess the quality, are analyzed in detail and their defects are given. The models based
on error sensitivity and structure distortion of images are two critical methods in IQA, and the survey presents
their key techniques and challenge problems. The reduced reference and no reference methods are also presented in
this survey. Based on the number of view, IQA are classified into two major categories, namely, monoscopic image
IQA and stereoscopic image IQA. This survey also makes an introduction of the stereoscopic image IQA. Finally,
the survey lists several perspective sub-fields and topics in IQA progress. (2011-02-07, PDF, 281KB, 下载56次)
：根据小波低频子带图像的轮廓模糊度和高频子带图像的细节信息量随小波分解层数增多而增多的规律，从图像熵
出发，提出了一种基于低频子带图像熵差的最佳小波分解层数选择法, 该方法通过计算不同分解层数下各低频子带的图像
熵差，选择最接近原始图像熵差的分解层数作为最佳分解层数。用多种基于小波变换的图像融合法分别对两组医学图像进
行仿真实验，结果表明根据该分解层数选择法得到的融合图像目视效果最好，与相关系数、峰值信噪比、模糊Chebyshev 距离
值等客观评价指标保持了很好的一致性。
Abstract：According to the law that the contour fuzziness of the low-frequency sub-band and the detail information of the high-frequency
sub-band increase with the growth of the wavelet decomposition levels, an effect selection method of the optimal decomposition level is
proposed. Firstly, the difference of original image entropy is calculated. Then, the differences of the low-frequency sub-image entropy
based on different decomposition level are calculated. Finally, the decomposition level which makes the difference of the low-frequency
sub-image entropy closest to the difference of original image entropy is found. This level is the optimal decomposition level. To fuse
two groups of medical images, simulation experiments are done by use of the wavelet transform and the PCA transform based on wavelet.
The experimental result indicates that the fusion image used by the proposed method has the best subjective feeling of human being, and
it has very good compatibility to objective (2010-10-19, PDF, 157KB, 下载22次)
最优的阶梯型边缘检测算法(canny边缘检测)
1.Canny边缘检测基本原理
(1)图象边缘检测必须满足两个条件：一能有效地抑制噪声；二必须尽量精确确定边缘的位置。
(2)根据对信噪比与定位乘积进行测度，得到最优化逼近算子。这就是Canny边缘检测算子。
(3)类似与Marr（LoG）边缘检测方法，也属于先平滑后求导数的方法。
2.Canny边缘检测算法：
step1:用高斯滤波器平滑图象；
step2:用一阶偏导的有限差分来计算梯度的幅值和方向；
step3:对梯度幅值进行非极大值抑制；
step4:用双阈值算法检测和连接边缘。
step1:高斯平滑函数
The optimal type stair edge detection algorithm (canny edge detection)
1 Canny edge detection principle
(1) the image edge detection must meet two conditions: one can effectively reduce the noise, 2 must try to accurately determine edge position.
(2) according to the signal-to-noise ratio and the product localization estimate, get optimal approximation operator. This is the Canny edge detection operators.
(3) similar to Marr (LoG) edge detection method, also belongs to the first derivative method for smooth after.
2 Canny edge detection algorithm:
Step1: using gauss filter smooth image,
Step2: a partial derivatives with finite difference to calculate gradient value and direction,
Step3: a gradient of maximum inhibition,
Step4: double threshold algorithm of edge detection and connection.
Step1: gaussian smooth functions (2010-07-27, C/C++, 1242KB, 下载138次)
分块有损压缩图像忽略了块间相关性，重构时会产生块效应，该文提出一种空域自适应去块效应算法。对块边缘采用方向自适应
有理滤波，以弱化块效应。根据块的内部活动性将图像块分成平坦块和纹理块2 类，利用基于方差的空域检测方法检测出平坦块，并对平
坦块进行邻块边缘自适应平滑。实验结果表明，该算法有效去除了块效应，一定程度上提高了信噪比，算法简单且鲁棒性较好。
Block lossy compression image ignores the inter-block correlation, Reconstruction would have a blocking effect, the paper presents a airspace Adaptive Deblocking Algorithm. To block the edge of rational use of the direction of adaptive filtering, in order to weaken the block effect. According to block the internal activity of the image block is divided into a flat block and texture block 2 categories, the use of airspace based on the variance detection methods to detect the flat block, and a flat block adjacent block edge adaptive smoothing. Experimental results show that the algorithm effectively blocking go except, to some extent, improve the signal to noise ratio, the algorithm is simple and better robustness. (2009-03-03, Visual C++, 144KB, 下载97次)
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VTK development of this research are the best reference. This is provided free of charge Feng Ye valuable study wealth, Ye Feng Chinese VTK Comrade research C3P Forum and make a significant contribution to the development of domestic research at the source of VTK from C3P begun to spread to various schools, research institutes, enterprises, but also C3P out from a large number of VTK & C3P talents. Feng Ye very grateful for the efforts and sharing, hope everyone to learn from him. Welcomed the attention to personal space and Feng Ye C3P Forum. http://www.cadcaecam.com/Home/space.php?uid=7390 http://www.cadcaecam.com/Forum (2009-02-15, Visual C++, 339KB, 下载39次)
彩色图像的篡改检测及自恢复算法赵春晖，孙建军，朱海峰(哈尔滨工程大学信息与通信工程学院，黑龙江哈尔滨150001)摘要：数字水印是图像认证的有效手段之一．利用小波变换提出一种计算简单的彩色图像水印算法，将一个图像的主要内容嵌入该图像自身之中，用均值量化的方法在亮度信号中嵌入水印，实现篡改检测和定位篡改区域；用多余的色度空间嵌入亮度信号和色度信号，用于恢复被篡改的图像内容．该算法可以获取较高的峰值信噪比，具有很好的鲁棒性．实验结果表明，该算法对删除、替换等恶意图像篡改具有良好的检测、定位和自修复能力．
color image tamper detection and self-recovery algorithm Zhao Chunhui, Sun Jianjun, Zhu Haifeng (Harbin Engineering University, Information and Communication Engineering Institute, Harbin, Heilongjiang 150001) Abstract : digital watermark image authentication is one of the effective means. Using wavelet transform A simple calculation of the color image watermarking algorithm, an image of the main elements embedded in the image itself, and use of quantitative methods mean the luminance signal embedded watermark, achieve tamper detection and localization tampering with the region; use of surplus space embedded color luminance signals and chrominance signals, for the restoration of tampering with the image content. The algorithm can generate a higher signal-to-noise ratio of the peak value, h (2007-03-18, MultiPlatform, 232KB, 下载204次)