DCT

一幅大小为256×256的256级灰度图像（每像素8bit） 如果图像的各个像素之间是统计独立的，求该图像的信息熵 -离散无记忆信源 如果图像的各个像素之间不是统计独立的，求该图像的信息熵 -图像像素的概率分布模型(A 256 gray scale image (8bit per pixel) with a size of 256 x 256 If each pixel of the image is statistically independent, the information entropy of the image is calculated Discrete memoryless source If each pixel of the image is not statistically independent, the information entropy of the image is calculated Probability distribution model of image pixels)

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.)

指纹灰度图像的matlab代码，文件附带指纹图像(Gray-scale fingerprint image matlab code, documents attached to the fingerprint image)

求取相机响应函数，并绘制相对曝光量-灰度曲线(Camera response function, and draw the relative exposure- gray curve )

基于OpenCV的MPEG-7特征提取，c++代码(MPEG-7 feature extraction based on OpenCV)

亚像素提取边缘源代码，可以进行准确的边缘检测(Subpixel edge source code)

RLE压缩算法,对.bmp格式文件进行操作。使用MFC编制界面，可读入位图，压缩后保存位图并显示。(RLE compression algorithm, bmp format file operation. Use the MFC preparation interface, readable into the bitmap compressed to save a bitmap display.)

说明：  图像颜色显著性，包含颜色直方图和颜色矩，是颜色显著性评价的重要内容(Image Color Salience)

说明：  svm 图像分割 用kmeans得到两类分割的图，在显示的图像中用鼠标取点得到2*num个坐标位置的二维向量，前num个为正样本，后num各为负样本(image segmentation)

此算法是图像之间的转换，二值图，RGB等的相互转换源代码(This algorithm is the conversion between the images, the two value of the map, RGB, and so on the conversion of the source code)