PNLM

表面张力CSF模型，用于计算微重力条件下的两相流问题。(Comtinum Saface tension Force)

MATLAB的一个源文件。用差分直方图位移的可逆数字水印实现图像的完整性认证。(MATLAB as a source file. Histogram using differential displacement reversible digital watermarking images realize the integrity of certification.)

说明：  用于图像滤波除噪的频域低通滤波函数，使用MATLAB编程实现(Frequency domain low-pass filtering function for image filtering and de-noising, using MATLAB programming)

1、对观测数据进行中心化，； 2、使它的均值为0，对数据进行白化—>Z； 3、选择需要估计的分量的个数m，设置迭代次数p<-1 4、选择一个初始权矢量（随机的W，使其维数为Z的行向量个数）； 5、利用迭代W(i,p)=mean(z(i,:).*(tanh((temp) *z)))-(mean(1-(tanh((temp)) *z).^2)).*temp(i,1)来学习W （这个公式是用来逼近负熵的） 6、用对称正交法处理下W 7、归一化W(:,p)=W(:,p)/norm(W(:,p)) 8、若W不收敛，返回第5步 9、令p=p+1，若p小于等于m,返回第4步 剩下的应该都能看懂了 基本就是基于负熵最大的快速独立分量分析算法(1, on the center of the observation data, 2, making a mean of 0, the data to whitening-> Z 3, select the number of components to be estimated m, setting the number of iterations p < -1 4, select an initial weight vector (random W, so that the Z dimension of the row vectors of numbers) 5, the use of iteration W (i, p) = mean (z (i, :).* (tanh ((temp) ' * z)))- (mean (1- (tanh ((temp)) ' * z). ^ 2)).* temp (i, 1) to learn W (This formula is used to approximate the negative entropy) 6 with symmetric orthogonal treatments W 7, normalized W (:, p) = W (:, p)/norm (W (:, p)) 8, if W does not converge, return to step 5 9 , so that p = p+1, if p less than or equal m, return to step 4 should be able to read the rest of the basic is based on negative entropy of the largest fast independent component analysis algorithm)

快速非局部均值，用来消除噪声，效果良好，适合于细节较多的图像(Fast nonlocal means is used to eliminate noise and achieve good results, which is suitable for more detailed images.)

DISKREET: FOR CHANGING DISKREET LEVEL OF AN IMAGE

Hilditch算法是现有的一种细化算法,它适用于 输入图像为0和1的二值图像。像素为1的区 域是需要细化的部分, 像素为0 的区域是背景(Hilditch thinning algorithm is an existing algorithm, it applies to the input image is 0 and 1 of the binary image. Pixel region 1 is a need to refine the part of the pixel area is the background for the 0)

LSB替换隐写软件，该软件能把ASCII码嵌入到图像中，其载体图像是24位的BMP格式图像(LSB Steganography tool which provides hide ASCII infomation within 24-bit Bitmap images)

DCT1实现一维离散余弦变换； DCT2实现二维离散余弦变换； 其中使用的算法是碟形算法来实现频域变换(DCT1 peacekeeping achieve a discrete cosine transform; DCT2 achieve two-dimensional discrete cosine transform; the use of the algorithm is dishing algorithm to achieve the transformation frequency domain)

说明：  图像处理，通过图像融合技术，可以实现将多幅来自同一场景的图像，利用其冗余信息，融合成一幅比原来任何一幅都易于为人们所理解的图像，同时可供人们进行进一步的观察和处理(Through image fusion technology, it can realize the fusion of multiple images from the same scene, and make use of its redundant information to form an image that is easier to understand than any original image)