lapulsi

针对散焦模糊图像，用matlab实现了先基于倒谱相关性对PSF的参数估计，再用维纳滤波实现复原的算法。(Defocus blurred image using matlab first estimated based on the parameters of the cepstrum on PSF, and then the Wiener filter recovery algorithm.)

传统的相位编组，将梯度分为8个方向，对边缘检测有很好的效果。(Traditional phase grouping, will be divided into eight direction of the gradient of edge detection are very good results.)

遗传算法与FCM算法相结合实现图像分割，分割精度较好，速度较快(A combination of genetic algorithm and FCM algorithm to achieve image segmentation, segmentation accuracy is better, faster)

这是经典的SAR成像算法，包含了RDA CSA RMA三种常见的对于点目标的成像算法(This is classic SAR imaging algorithm, including the RDA CSA RMA three common for point target imaging algorithm )

jpeg编码工程(YUV2RGB) 文件中含有说明文件,保证可以使用(jpeg encoding works (YUV2RGB) file contains the documentation to ensure that you can use)

TV算法图像处理。total variation减少图像噪声算法源代码(TV algorithm for image processing. total variation image noise reduction algorithm source code)

通过高通滤波器实现对图像的锐化处理，能去除不需要的模糊轮廓而加强边缘的对比度。(Image sharpening to achieve through a high-pass filter, and enhance the contrast edges blurred outline can remove unwanted.)

图像处理方面，包括滑动窗口，线性滤波，中值滤波(Image processing, including sliding window, linear filtering, median filtering)

两个l1准则下的噪声干扰信号压缩感知重构举例，两个例子的稀疏矩阵均为DCT矩阵，而观测矩阵分别采用单位阵和随机矩阵，有详细的步骤和使用方法，适用于初步的学习压缩感知方法。(This programme supply two examples by Compressed sensing with l1 norm. The sparse matrix of two examples are all DCT matrix and the obsever matrix are unit matrix and random matrix respectively. We give the detailed usage and steps for the programme which is useful to the beginner.)

说明：  一个简单的画图程序，提供基本图元点、线、面，图元填充、裁剪的操作(Simple Draw)