matlab-拉普拉斯算子

Krishnan于2009年在NIPS上发表的Fast Image Deconvolution using Hyper-Laplacian Priors的个人翻译。翻译仅代表个人粗浅的理解，格式也是自己随意排版的，不一定准确，也希望各位多多批评指正，广泛交流

不用matlab的自带函数，自编的边缘提取程序。 不用matlab的自带函数，自编的边缘提取程序。 不用matlab的自带函数，自编的边缘提取程序。 不用matlab的自带函数，自编的边缘提取程序。

计算机图形学课程设计实验，OpenGL+VS对obj文件实现三维网格光顺操作（用拉普拉斯算法）,使用OpenGL类库对三维模型进行绘制，增加采用鼠标交互方式对三维模型进行旋转、放缩、平移等操作；包含完整的代码和我的实验报告

超拉普拉斯先验的盲去卷积算法论文中的Matlab代码可以运行。

% This folder contains a collection of "fitting" functions. % (Some has demo options - the third section) % The GENERAL input to the functions should be samples of the distribution. % % for example, if we are to fit a normal distribution ('gaussian') with a mean "u" and varaince "sig"^2 % then the samples will distribute like: % samples = randn(1,10000)*sig + u % %fitting with Least-Squares is done on the histogram of the samples. % fitting with Maximum likelihood is done directly on the samples. % % % Contents of this folder % ======================= % 1) Maximum likelihood estimators % 2) Least squares estimators % 3) EM algorithm for estimation of multivariant gaussian distribution (mixed gaussians) % 4) added folders: Create - which create samples for the EM algorithm test % Plot - used to plot each of the distributions (parametric plot) % % % % % % Maximum likelihood estimators % ============================= % fit_ML_maxwell - fit maxwellian distribution % fit_ML_rayleigh - fit rayleigh distribution % (which is for example: sqrt(abs(randn)^2+abs(randn)^2)) % fit_ML_laplace - fit laplace distribution % fit_ML_log_normal- fit log-normal distribution % fit_ML_normal - fit normal (gaussian) distribution % % NOTE: all estimators are efficient estimators. for this reason, the distribution % might be written in a different way, for example, the "Rayleigh" distribution % is given with a parameter "s" and not "s^2". % % % least squares estimators % ========================= % fit_maxwell_pdf - fits a given curve of a maxwellian distribution % fit_rayleigh_pdf - fits a given curve of a rayleigh distribution % % NOTE: these fit function are used on a histogram output which is like a sampled % distribution function. the given curve MUST be normalized, since the estimator % is trying to fit a normalized distribution function. % % % % % Multivariant Gaussian distribution % ================================== % for demo of 1

本次代码共包含5个程序，均由MATLAB实现，其功能为图像锐化。包含laplacian算子、Prewitt算子、Robert算子、sobel算子实现图像锐化，并有一维和二维laplacian算子对比。内还有各个算子的运算过程（Word文档）

共附带了5个m文件，其中pyr_reduce.m和pyr_expand.m分别实现了一次滤波+降采样和滤波+升采样操作；genPyr.m调用这两者，实现高斯和拉普拉斯金字塔的生成；pyrReconstruct.m则实现了由金字塔进行图像重构的操作。最后，pyrBlend.m进行了图像融合的实验。还有三张试验图片

图像边缘检测matlab源码kirsch、Laplacian、prewitt、roberts、Sobel算子（亲测可用已经调试注释完整）

不用matlab的自带函数，自编的边缘提取程序。