L0330

全变分自适应去噪模型张红英matlab平台，(Full variable adaptive denoising model Zhang Hongying matlab)

生成avi视频截图序列。设置截图时长，截图频率，截图类型的参数。(Generate avi video sampling sequence.Screenshot duration, frequency and types of parameters are allowed to set freedom.)

Impulse response, system response, for signal processing

该程序主要利用快速傅里叶算法将振动信号的时域转化成频域信息，得出频谱进行分析。(The program mainly using fast Fourier algorithm time domain vibration signal converted into the frequency domain information, obtain spectral analysis.)

说明：  同态滤波利用去除乘性噪声(multiplicative noise)，可以同时增加对比度以及标准化亮度，借此达到图像增强的目的。(Homomorphic filtering can increase contrast and standardize brightness simultaneously by removing multiplicative noise, so as to achieve the purpose of image enhancement.)

很有用的彩色图像分割方法，经本人实验，绝对可靠(Very useful for color image segmentation method, by my experiment, absolutely reliable)

一种基于DFT的瞬时测频算法，及及插值算法，最后由图形表示测频结果。 (Instantaneous frequency of the DFT-based algorithm, and the interpolation algorithm, by the graphical representation of the frequency measurement results.)

matlab模拟产生马鞍形光学条纹图，通过求取其条纹方向，二值化得到其巨齿包裹图，中心线图。这些对于激光散斑（ESPI），雷达干涉（INSAR）图像的去包裹有重要的指导意义。()

说明：  本课题为基于MATLAB的小波变换dwt和离散余弦dct的多方法对比数字水印系统。带GUI交互界面。有一个主界面GUI，可以调用dwt方法的子界面和dct方法的子界面。流程包括，读取宿主图像和水印图像，嵌入，多种方法的攻击（剪切，加噪，旋转等），提取，最后利用psnr峰值信噪比进行评价不同攻击下，鲁棒性的好坏。(This project is based on MATLAB wavelet transform DWT and discrete cosine DCT multi method contrast digital watermarking system. With GUI interactive interface. There is a main interface GUI, which can call the sub interfaces of DWT method and DCT method. The process includes: reading host image and watermark image, embedding, attacks of various methods (cutting, adding noise, rotation, etc.), extracting. Finally, PSNR peak signal-to-noise ratio is used to evaluate the robustness of different attacks.)

说明：  多尺度加权的rentinex算法实现图像增强，里面用到了高斯滤波对图像进行滤波，可以去除大部分的噪声，平滑图像效果较突出，3个高斯尺度对图像做滤波后加权在一起得到多尺度信息的图像。(Multiscale weighted rentinex algorithm is used to enhance the image. Gauss filter is used to filter the image, which can remove most of the noise. The smoothing effect of the image is prominent. Three Gaussian scales are filtered and weighted together to get the multi-scale information of the image.)