DCT-digital-watermarking-technology

内容为《基于偏微分方程的图像处理》一书的实验教程。 (Content as a )

变化检测的常用方法：基于pac的变化检测方法，结果很好！(Common method of change detection: pac change detection method based on the results of good!)

说明：  用matlab编写界面，实现直方图均衡化、平均滤波、梯度滤波、Laplacian滤波、Kirsch滤波、Sobel滤波、Prewitt滤波、高频提升等多种功能(Matlab prepared to use interface, the realization of histogram equalization, the average filter, Gradient filter, Laplacian filter, Kirsch filter, Sobel filter, Prewitt filter, multiple functions, such as high-frequency upgrade)

Matlab程序，用于图像去噪声处理，特色是能够在去噪时保护图像边缘，是非线性滤波处理(Matlab program for the image to deal with noise, features that can protect the edge denoising is nonlinear filtering deal)

第二代离散曲波变换的源程序，包括图像处理中的应用(Second-generation discrete curvelet transform of the source, including the application of image processing)

图像处理的查准率和查全率的代码，适合用于图像图像的检测，目标的检测的评估(Image processing precision and recall rate code)

信号进行EEMD分，作为希尔伯特黄变换的基础(try to decompose signal using EEMD，which as the Hilbert Huang Transtion basis)

本算法为经典的criminisi算法，直接可以用于图像修复，资料中含有测试图片，测试效果明显，可以直接运行。(It is the classic criminisi algorithm and can be directly used for image inpainting, the data contains test pictures, the test results are obvious, the code can be run directly.)

图相多描述编码matlab仿真 多描述编码的matlab仿真，本科生的毕业设计 生成图像后计算psnr >> J=imread( 两描述都收到后重建的图像.bmp ) PSNR(I,J) ans = 32.3290 >> J=imread( 描述1重建后的图像.bmp ) >> PSNR(I,J) ans = 28.7011 >> J=imread( 描述2重建后的图像.bmp ) >> PSNR(I,J) ans = 29.1467 (Figure phase multiple description coding matlab simulation Matlab simulation of multiple description coding, undergraduate graduation design Generated images calculated psnr >> J = imread ( the reconstructed image after the two descriptions are received. Bmp ) >> PSNR (I, J) ans = 32.3290 >> J = imread ( to describe a reconstruction of images. Bmp ) >> PSNR (I, J) ans = 28.7011 >> J = imread ( to describe two reconstruction images. Bmp ) >> PSNR (I, J) ans = 29.1467)

这是自己编的卷积型小波包的分解程序，用于机械故障特征提取，实现了克服Mallat算法数据量减少和产生虚假频率的缺陷(Own series of convolution type of wavelet packet decomposition procedures for mechanical fault feature extraction to overcome the defects of the the Mallat algorithm decrease in the amount of data and produce false frequency)