SuperResolution

利用VC进行图像的频域滤波处理，内含源代码(VC image using the frequency domain filtering treatment, including source code)

自写M函数，做灰度图像的灰度级数及灰度范围的自定义设置。例如：将[0 255]的uint8图像变换成8级灰度的灰度范围为[0 7]图像或者[11.5 25.8]图像。 输出图像为double类，用户可将图像归一化后自行转换为所需类型。(This is a M function written by self, it can be used to rebuild a image with a given number of gray-level and a given gray-scale. Output image is double class.)

BBO I类匹配角计算 通过修改相应的参数可以计算其他负单轴晶体的I类匹配角(BBO Class I match angle calculated by modifying the parameters can be calculated other negative uniaxial crystals Class I match angle)

说明：  基于视觉特征的图像特征提取，在HSV颜色空间提取彩色纹理特征(Based on the visual characteristics of image feature extraction, in the HSV color space, color texture feature extraction)

线性非局部均值滤波器用于图像处理中的去除噪声平滑图像，能够较好的保持图像的边缘(Linear non-local mean filter for image processing to remove noise smoothing of images, to better maintain the image edge)

hessian矩阵在图像处理中的应用。根据图像所得函数，建立相应的hessian矩阵(hessian matrix in image processing applications. The resulting function according to the image, to establish the corresponding hessian matrix)

两张图片合成实例，可类举

antenna dipole of 3d antenna

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：  图像处理基础程序,主要针对遥感影像处理。内含各种基础处理源码(matlab ,imagine analisy)