tv-method-for-image-inpainting

C#写的绘图板，功能还不错。实现了直线，矩形，圆形，填充矩形，填充圆形。可拖动图形位置，可改变矩形大小，可放大缩小，可输入文字，打开图片，拖动图片，可撤销。(C# to write the drawing board, features well. Implementation of linear, rectangular, circular, filled rectangle, filled circle. Can drag the graphic location, can change the rectangle size can be enlarged or reduced, can enter text, open the image, drag the image may be revoked.)

增强型Lee滤波，附有详细注释，简单易用，参数可调(enhanced LEE filter)

本代码双密度双树复小波的实现，对图像去噪图像压缩起了很好的作用，很不错的源码(The double-density dual tree complex wavelet code implementation of image compression for image denoising very good effects, it is a good source)

图像配准的很好的程序，里面用到粒子群算法(image registration is a good procedure, which used PSO)

针对CMOS 图像传感器输出的Bayer 格式的图像数据, 利用TI 公司的TMS320DM642 数字信号处理器的专用视频端口,可以实现图像捕获、数据传输的无缝连接的特点, 构建了以DM642 为核心的图像实时处理系统。在DM642 中采用两种通用方法(双线性插值、边缘检测) 和文中提出的信号相关的方法, 将从Bayer 公司的CMOS 图像传感器所捕获的8 位Bayer 格式图像数据, 转换为24 位RGB 格式彩色图像数据, 并通过PSNR(信噪比) 和NCD(归一化彩色差异规范) 两种评估方法进行检测。从实验结果可以看出文中提出的方法相对于通用方法提高了图像的信噪比, 锐化图像的边缘, 减少了图像高频信息的错误像素的数量, 提高视觉质量。(Bayer TMS320DM642)

交通视频车辆检测，实现步骤为： 1.读取视频文件 2.利用图像提取相关算法检测单帧图像中的车辆 3.车辆检测算法应用于视频图像中 4.将结果可视化(Traffic video vehicle detection, the steps of: 1. Read the video file 2. Image extracting the vehicle in a single image of the correlation algorithm detecting vehicle detection algorithm applied to the video image. Results visualization)

图像加密算法本文讨论了基于现代密码体制的图像加密、基于矩阵变换的图像加密、基于混沌的图像加密、基于秘密分存的图像加密、基于频域的图像加密、基于ＳＣＡＮ 语言的图像加密和基于 ＤＮＡ 计算的图像加密等主流图像加密算法的加密原理、优缺点和最新进展(This paper discusses image encryption algorithm based on modern cryptography, image encryption based on matrix transform, image encryption based on chaotic image encryption based on secret sharing based on frequency domain image encryption, image encryption, image encryption based on SCAN language and DNA based on the calculation of image encryption and other mainstream image encryption algorithm, encryption principle the advantages and disadvantages and the latest progress)

这是DBSCAN超像素分割的代码，可以发表个很好的论文，(This is a DBSCAN hyperpixel segmentation code that can publish a very good paper,)

SAR成像处理的过程是从回波数据中提取目标区域散射系数的二维分布，本质上是一个二维相关处理过程,因此最直接的处理方法是对回波进行二维匹配滤波，但其运算量很大，再加上SAR的数据率本来就高，这使得实时处难于实现。通常，可以把二维过程分解成距离向和方位向两个一维过程，Range-Dopper Algorithm（简称RD算法）(SAR imaging process is two-dimensional distribution of the scattering coefficient of the target area extracted from the echo data, in essence, is a two-dimensional process, the most direct approach is two-dimensional matched filtering of echo, its computationalthe great plus on SAR data rate was high, which makes real-time processing is difficult to achieve. Typically, two-dimensional process can be broken down into the range and azimuth to a two-dimensional process, the Range-Dopper Algorithm. (Referred to as the RD algorithm))

利用剪切波变换的方向性和多尺度特性，在剪切波变换域中进行阈值降噪处理(Using the directional and multi-scale characteristics of shearlet, the threshold denoising is performed well in the shearlet transform domain)