matlab回归法做图像变化

基于8×8分块得数字水印嵌入和提取算法。此算法已经通过调试，可以直接运行(Based on 8 × 8 sub-blocks have digital watermark embedding and extraction algorithm. This algorithm has been through debugging, you can directly run)

说明：  高光谱遥感图像异常检测算法经典算法-RX算法(Hyperspectral image anomaly detection algorithm algorithm classical algorithm-RX)

SIFT算法，可以有效的找到不同画面中的对应特征点，在跟踪和图形识别方面有很好的用途(SIFT algorithm, can effectively find a different screen the corresponding feature points, in the tracking and pattern recognition as a very good use of)

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)

一套使用全变分方法进行图像去噪处理的图像源代码(MATLAB),算法结果性能优良,适用范围广泛.(Use a variational method for image denoising images deal with the source code (MATLAB), the results of algorithm performance, the broad scope of application.)

这是一个实时提升小波，滤波程序，它可以滤除噪声(This is lift wavlet,denoting the note process)

matlab函数，将多维矩阵的极值找出并定位，图像处理经常用到，很简单很好用(matlab function, multi-dimensional matrix to identify and locate the extreme, often used in image processing, it is very simple to use)

用协方差方法估计AR模型参数,进而实现功率谱估计,()

说明：  给定两张图片，利用ssim来计算两张图片他们之间的ssim相似度(compute ssim between two images)

边缘检测，并分割，以不同颜色标示。站内有其matlab实现，这是对应的c++代码。(Edge detection and segmentation, marked with different colors. Inside the station are the matlab realize, This is corresponding c++ code.)