wavelet97

基于matlab平台的fft加窗插值算法，适用于信号分析(Wft window interpolation algorithm based on matlab platform, suitable for signal analysis)

1.本程序功能包含显示直方图，OTSU的单值分割，OTSU的二值分割,OTSU的三值分割 2.在OTSU的分割时，通常情况下我们是通过类间方差得到一个分割阈值，但是有时候我们需要得到各灰度级别的目标，那么采取多值分割是 很必要的，通过改进得到OTSU的多值分割方法 3.本程序另外还有显示直方图，计算程序运行时间，处理结果以新的窗口显示等细节，这部分适合MFC初学者。(1. This procedure shows the histogram feature, OTSU single segmentation, OTSU binary segmentation, OTSU three segmentation 2. OTSU segmentation, it is usually the case we are through the between-cluster variance by a partition threshold , but sometimes we need to be the gray level of the target, then the multi-segmentation is necessary, through improved access to multi-OTSU segmentation methods 3. This procedure in addition to show the histogram to calculate run time, treatment the results of a new window display the details of this part of MFC for beginners.)

量化离散余弦变换系数的程序实现及其效果的检测。过程中使用了8x8的分块方法。首先计算每块的离散余弦变换（DCT)；然后量化了DCT的系数； 最后进行了反离散余弦变换(iDCT). 程序中还可以设定缩放系数。(Quantify the discrete cosine transform coefficients procedure and its effect detection. The process used in the 8x8 sub-block method. First calculate the block discrete cosine transform (DCT), quantization of the DCT coefficient Finally, the inverse discrete cosine transform (iDCT) program can also set the scaling factor.)

功能：应用Rudin-Osher-Fatemi模型进行图像去噪，在ROFtest.m 中输入图像，附带文档ROFscheme内容为此模型的数值分析过程，比较详细，适合初学者(Classic 􏰉 Rudin-Osher-Fatemi model denoising, the including documentation is the numerical analysis process of the model in detail, suitable for beginners)

计算局部形状描述符梯度方向直方图（HOG），直接输入图像即可用。(Calculate the local shape descriptors gradient orientation histogram (HOG), the input image can be used directly.)

多个图像增强的源代码 包括小波增强 边缘增强 直方图滤波等等。。。(Multiple image enhancement of source code includes wavelet edge histogram filtering, enhance enhancement.)

视频图像处理，采用背景减除法中混合高斯建模进行视频前景和背景的分离(Video image processing, background subtraction method using Gaussian mixture modeling to separate the foreground and background video)

几个图像中嵌入文本的LSB信息隐藏算法，适合信息隐藏初学者,注释详细(Several images embedded in the text of the LSB Information Hiding Algorithm for Information Hiding beginners, notes in detail)

图像高斯模糊的算法,自定义大小和模糊半径(psf of Gaussian)

探索图像恢复中出现的正则化方法及其理论基础，进一步发展Tikhonov正则化方法，得到图像恢复算法和工程实际中一些病态问题的解，进一步发展已有的数值解 法,(Exploration of image restoration emerged regularization method and its theoretical basis, the further development of Tikhonov regularization method, the image restoration algorithm and engineering solutions of some ill-posed problem, the further development of existing numerical method,)