Envalue

Matlab程序，利用curvelet变换和高斯逆滤波进行图像去雾，含效果图(Matlab program, using curvelet transform and inverse Gaussian image filtering to fog, with the effect of map)

用小波包提取故障特征向量并归一化，很实用，论文里的部分程序(Extracted using wavelet packet fault eigenvector and normalized, it is useful, some of the procedures in the thesis)

说明：  Donoho提出的小波阀值去噪的基本思想是将信号通过小波变换（采用Mallat算法）后，信号产生的小波系数含有信号的重要信息，将信号经小波分解后小波系数较大，噪声的小波系数较小，并且噪声的小波系数要小于信号的小波系数，通过选取一个合适的阀值，大于阀值的小波系数被认为是有信号产生的，应予以保留，小于阀值的则认为是噪声产生的，置为零从而达到去噪的目的。尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点。(The basic idea of wavelet threshold de-noising proposed by Donoho is that the wavelet coefficients generated by the signal after passing through the wavelet transform (Mallat algorithm) contain the important information of the signal. After the wavelet decomposition, the wavelet coefficients of the signal are larger, the wavelet coefficients of the noise are smaller, and the wavelet coefficients of the noise are smaller than the wavelet coefficients of the signal. By selecting a suitable threshold, the wavelet coefficients of the noise are larger than the valve The wavelet coefficients of values are considered to be generated by signals, which should be preserved. The ones less than the threshold are considered to be generated by noise, which is set to zero to achieve the purpose of denoising.)

基于伽马分布的极化SAR图像CFAR检测算法的研究与实现(gamma distribution CFAR detection)

利用图像差分，进行人体跟踪，并记录视频帧中目标的坐标，（PS:没有上传视频模板）(Differential use of image for the human body tracking, and record the video frame in the coordinates of the target, (PS: do not upload videos template))

程序功能是把一副倾斜的文字图像矫正过来，通过边缘检测再进行霍夫变换完成(The program function is to correct a skewed text image.)

CHEMKIN-III package. Gas mixture sensitivity analysys.

非线性贝叶斯过滤与应用估算和导航，非常不错的粒子滤波英文论文(Nonlinear Bayesian filtering with applications to estimation and navigation)

对于存在块效应图像进行质量评价 matlab程序 比较适合初学者(For the existence of blocking matlab image quality evaluation procedures are more suitable for beginners)

说明：  图像高斯滤波,再边缘检测中,首先要用到高斯滤波(images Gaussian filtering, edge detection again, the first use of the Gaussian filter! !)