NonLocalMeansFiltering

序列图像中运动小目标检测跟踪，实用性很强，张天序教授的硕士生撰写的学位论文(Image sequences small moving target detection and tracking, very practical, Professor Zhang Tianxu of graduate students writing dissertations)

说明：  GUI界面实现打开图像，基于阈值分割，基于边缘分割，基于形态学分割，基于种子点分割和基于主动轮廓模型分割(The GUI interface can open the image, based on threshold segmentation, edge segmentation, morphological segmentation, seed point segmentation and active contour model segmentation)

非负矩阵分解技术（Nonnegtive Matrix Factorization 一种信号或图像的特征提取的方法，也可用于图像压缩 (Non-negative Matrix Factorization technique (Nonnegtive Matrix Factorization a signal or image feature extraction methods can also be used for image compression)

基于Visual C++的图像边缘检测工程，以Canny为例(Visual C++-based image edge detection works to Canny Case)

P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理 (P0301: digital image data matrix display and Fourier Transform P0302: two-dimensional discrete cosine transform image compression P0303: using gray transform method to enhance the contrast of the image P0304: histogram equalization P0305: Simulation images by white Gaussian noise and salt and pepper noise P0306: 2D median filtering function medfilt2 right by Salt and Pepper image noise filtering P0307: using MATLAB functions filter2 of noise images mean filtering P0308: Image Adaptive Filter Weiner P0309: use five different gradient Enhancement Act for image sharpening P0310: Images of the high-pass filtering and mask handling P0311: use Butterworth (Butterworth) low-pass filter on the noise in the image smoothing P0312: use Butterworth ( Butterworth) high-pass filter for image sharpening)

雾天图像处理，利用暗原色先验进行图像处理。(dark channel prior)

基于模糊理论的图象处理,有图象增强,图象平滑和边缘检测算子.()

算法工程师学习现代通信知识的基础教材，国外进口翻译版。(Algorithm Engineer learn basic knowledge of modern communication materials, imported translations.)

目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。(Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.)

数字图像处理的基础知识学习 涵盖源代码，有助于提高编程(digital image processing )