SpectralResidual

是用matlab 实现的cox经典水印算法包括水印的嵌入、提取等(using Matlab realized cox classic watermarking algorithm including the watermark embedding and extraction, etc.)

对局部放电进行小波变换模式识别，解决放电破坏设备问题(Wavelet Transform Pattern Recognition for Partial Discharge)

可以直接调用，适用于各种利用contourlet工具箱做为工具的算法(Can be directly invoked, suitable for various algorithms using contourlet toolbox as a tool)

说明：  此代码是由FCM算法改变的且用于图像分割，比FCM算法对图像的分割的效果更好(This code is changed by FCM algorithm and is used for image segmentation, which is better than FCM algorithm for image segmentation)

对图像进行平滑处理，像各种滤波的方法，如均值滤波法、中值滤波法(Smoothing the image, like the various filtering methods, such as mean filtering, median filtering method)

hough变换的图像倾斜校正的matlab源码，图像预处理的重要环节之一。(hough transform image tilt correction matlab source, an important part of image pre-processing one.)

给定一幅图像，输出其直方图。给定一个线性变换函数(可以输入不同的参数)，实现图像的灰度拉伸；实现对图像的均衡化。 实验测试图像：任意 (histogram；Gray stretch；Image equalization)

说明：  经典图像处理灰度图像去噪模型，以及改进模型效果不错(Classic image processing gray image denoising model, and improved model good results.)

　对经典的二值化方法Ostu 算法和Bernsen 算法中存在的缺点进行了分析, 提出一种结合Canny 算子的图像 二值化方法.该方法综合考虑了边缘信息和灰度信息, 通过边缘附近种子点在高阈值二值化图像中的填充和低阈值 图像对它的修补而得到二值化结果图像, 较好地解决了经典二值化方法中存在的抗噪能力差、边缘粗糙、伪影现象 等缺点.实验结果证明, 该方法能够较好地解决低对比度图像和目标像素灰度不均匀图像的二值化问题(The disadvantage of the classical binary method Ostu Bernsen algorithm and algorithms exist were analyzed, one binding Canny operator image binarization method. This method considers the edge information and gray information, through seed near the edge point padding and a low threshold image to its repair in a high threshold binary image to obtain a binary result image, it solves the noise immunity classical binary method exists difference, rough edges, artifacts phenomenon and other shortcomings. the experimental results show that this method can solve the low-contrast image and the target image pixel gray uneven binary problem)

基于IBP算法的超分辨率图像重建，原理讲得十分清楚。(Super-resolution image reconstruction based on IBP algorithm. The principle is very clear.)