bpsko_analysis

有关数字图像退化函数的估计与滤波，维纳滤波器实现，运动模糊等(For digital image degradation function estimation and filtering, Wiener filter implementation, motion blur, etc.)

matlab OTSU 简易的大津算法 求最佳阈值的。(matlab simple algorithm seeking Otsu threshold.)

这是一个经典的马尔科夫场程序。算法详细，而且里面含有一篇与程序对应的文献，解释非常详细，程序非常好用(This is a classical Markov field program. Algorithm is detailed, but it contains a corresponding literature and procedures, explaining in great detail, the program is very easy to use)

心音诊断界面，读取一个既定的心音音频文件，可以显示波形，自动简易诊断。(Diagnosis of heart sounds interface, read a given heart sound audio files, you can display the waveform, automatic simple diagnosis.)

说明：  用于无参考图像质量评价，用MATLAB语言编写(For no-reference image quality evaluation)

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)

说明：  全变分模型主要是依靠梯度下降流岁图像进行平滑处理的模型,希望在图像的内部对图像进行平滑,使得相邻像素的差值较小(The total variation model is mainly based on the gradient descent flow year image smoothing model, hoping to smooth the image inside the image, so that the difference between adjacent pixels is small)

图像增强的matalab程序，里面有基于小波的，contourlet变换的，拉普拉斯塔等的增强，比较详细，有说明文件里面(Matalab image enhancement procedures, which have based on the wavelet, contourlet Transform, etc.拉普拉斯塔enhanced, more detailed, it has documentation)

应用视觉保真度（ＶＩＦ）的方法对图像增强方法的优劣做客观的评价。从而达到用客观的评价方法评价一种增强方法的优劣性。(The application of visual fidelity (VIF) to do an objective evaluation of the pros and cons of the image enhancement method. So as to achieve an enhanced method of objective evaluation methods evaluate the advantages and disadvantages.)

基础的盲均衡算法，16相位正交调幅恒模盲均衡算法。(A basic blind equlization algorithm ,named as 16 QAM blind equlization for CMA. )