Subpixel-

在逆向工程中通过测量仪器得到的产品外观表面的点数据集合也称之为点云，通常使用三维坐标测量机所得到的点数量比较少点与点的间距也比较大，叫稀疏点云；而使用三维激光扫描仪或照相式扫描仪得到的点云点数量比较大并且比较密集，叫密集点云。(Data collection point in the surface appearance of the product obtained by reverse engineering measurement instruments, also known as point clouds, usually spaced three-dimensional coordinate measuring machine number of points obtained in relatively small dots are relatively large, called sparse point cloud while the number of point cloud using the three-dimensional laser scanner or camera scanner get bigger and more intensive, called dense point clouds.)

说明：  当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。( This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood Estimation for Ill-Posed Problems", "Tikhonov Regularized Poisson Likelihood Estimation: Theoretical Justification and a Computational Method", "An Efficient Computational Method for Total Variation with Poisson Negative-Log Likelihood", "An Analysis of Regularization by Diffusion for Ill-Posed Poisson Likelihood Estimation," "An Iterative Method for Edge-Preserving MAP Estimation when Data-Noise is Poisson", and finally, "Regularization Parameter Selection Methods for Ill-Posed Poisson Maximum Likelihood Estimation". See my publications page for more details. The main algorithm is for nonnegatively constrained, regularized Poisson likelihood estimation. At this point you can choose Tikhonov, total variation regularization, and diffusion regularization. A number of other methods are also implemented. Regularizatio)

提出一种基于空间域的多聚焦图像融合技术：首先计算点分布函数（PSF），然后利用PSF模糊源图像，最后通过组合原图像中较为清晰的像素点来生成全聚焦图像。(We propose a multi-focus image fusion based on space domain techniques: First calculate the point distribution function (PSF), then use the PSF fuzzy source image, and finally to generate omni-focus image by combining the original image clearer pixels.)

空间域图像处理，图像增强。计算相关，卷积，高斯平滑等滤波图像处理代码。(Spatial domain image processing, image enhancement. Computation, convolution, gaussian smoothing image processing such as filtering code.)

CVPR2011文章Efficient_Rotation_Invariant_Object_Detection_using_Boosted_Random_Ferns(paper of CVPR2011 Efficient_Rotation_Invariant_Object_Detection_using_Boosted_Random_Ferns)

局部拉普拉斯滤波代码，效果很好，可以直接运行(Edge-aware Image Processing with a Laplacian Pyramid)

捷联惯性导航姿态解算原理及核心算法,从原理到最终程序实现(Strapdown inertial navigation attitude algorithm principle and the core algorithm, the principle to the final program)

图片智能微缩模块源码,程序结合易语言图像格式转换支持库和第三方云外归鸟的图像处理支持库，实现图片智缩效果。(Pictures intelligent miniature module source code , the program combined with easy language support library image format conversion and third party outside the cloud of birds image processing support library that implements the image Chi shrink effect .)

非局部均值高斯图像去噪算法程序，论文作者源代码(Non-local mean Gaussian denoising algorithm procedures, the authors source code)

使用傅立叶变换对图像的条纹噪声进行滤除，分别使用了理想低通滤波、巴特沃兹低通滤波和高斯低通滤波进行处理(The use of Fourier transform on the image to filter out the noise of the stripes, respectively, using an ideal low-pass filtering,巴特沃兹Gaussian low-pass filtering and low pass filter to deal with)